This dataset contains detailed information about rental properties across various locations in the UK. The data was collected by scraping Rightmove, a popular real estate platform. Each entry in the dataset includes the property's address, subdistrict code, rental price, deposit amount, letting type, furnish type, council tax details, property type, number of bedrooms and bathrooms, size in square feet, average distance to the nearest train station, and the count of nearest stations.

Researchers and analysts interested in the UK rental market can utilize this dataset to explore rental trends, pricing variations based on location and property type, amenities preferences, and more. The dataset provides a valuable resource for machine learning models, statistical analysis, and market research in the real estate sector.

Metadata: Source: The data was collected by scraping the Rightmove real estate platform, a leading source for property listings in the UK. Date Range: The dataset covers rental property listings available during the scraping period. Geographical Coverage: Primarily focused on various locations across the UK, providing insights into regional rental markets. Data Fields: Address: The location of the rental property. Subdistrict Code: A code representing the subdistrict or area of the property. Rent: The monthly rental price in GBP (£) for the property. Deposit: The deposit amount required for renting the property. Let Type: Indicates whether the property is available for short-term or long-term rental. Furnish Type: Describes the furnishing status of the property (e.g., furnished, unfurnished, or flexible options). Council Tax: Information about the council tax associated with the property. Property Type: Specifies the type of property, such as apartment, flat, maisonette, etc. Bedrooms: The number of bedrooms in the property. Bathrooms: The number of bathrooms in the property. Size: The size of the property in square feet (sq ft). Average Distance to Nearest Station: The average distance (in miles) to the nearest train station from the property. Nearest Station Count: The count of nearest train stations within a certain distance from the property. Data Quality: The data may contain missing values or "Ask agent" placeholders, which require direct inquiry with agents or landlords for specific information. Potential Uses: The dataset can be used for market analysis, rental price prediction models, understanding property preferences, and exploring the impact of location and amenities on rental properties in the UK.

Rents in England's capital, London, declined by *** percent annually as of January 2025. Nevertheless, many boroughs recorded growing rental prices, with Bromley and Croydon observing double-digit growth. Across the region, Croydon, Barking, Dagenham, and Havering ranked as some of the most affordable areas to rent. As shown by the Index of Private Housing Rental Prices, rents in the UK have soared since the COVID-19 pandemic.

The Price Index of Private Rents (PIPR) increased gradually since 2015 and reached a value of ***** in ************. That indicates a rental increase of ** percent since ************, the baseline year when the index was set to 100. The rental rates for mainstream properties are forecast to continue to grow over the next five years.

An experimental price index tracking the prices paid for renting property from private landlords in the United Kingdom

London Property Listings Dataset

Description

This dataset expands upon the original London Property Listings by including additional attributes to facilitate deeper analysis of rental properties in London. It is ideal for research and projects related to real estate trends, price categorization, and area-wise analysis in one of the world's busiest markets.

Dataset Features

• Price: Monthly rental price in GBP.
• Property Type: Classification of the property (e.g., Apartment, Flat).
• Bedrooms: Number of bedrooms in the property.
• Bathrooms: Number of bathrooms.
• Size: Property size in square feet (where available).
• Postcode: Postal code of the property location.
• Area: General area or neighborhood information.
• Price_Category: Categorization of prices into predefined ranges (e.g., Low, Medium, High).
• Area_Avg_Price: Average price of properties within the same area.

Potential Use Cases

• Price Analysis: Study how property attributes impact rental prices.
• Price Prediction Models: Utilize the dataset for machine learning tasks like regression and classification.
• Regional Insights: Compare rental trends across different neighborhoods.
• Categorical Analysis: Investigate trends within predefined price categories.

Data Summary

• Total Records: 29,537
• Total Attributes: 9
• Data Completeness: No missing values. All columns are fully populated.

Attribution

This dataset was prepared and uploaded by Mehmet Emre Sezer. It is intended for educational and non-commercial use.

Median monthly rental prices for the private rental market in England by bedroom category, region and administrative area, calculated using data from the Valuation Office Agency and Office for National Statistics.

Rental prices in both Greater London and Central London were expected to continue to rise in the period until 2029. Nevertheless, growth will be slower compared to the five-year period up to December 2024. Prime rents in Outer London grew by **** percent in that period and were expected to rise by **** percent until 2029. In Central London, prime residential rents rose by **** percent and were expected to further grow by **** percent. Meanwhile, mainstream residential property prices in the UK are forecast to rise even faster, indicating a strong demand for residential housing.

The Index of Private Housing Rental Prices (IPHRP) is a quarterly experimental price index. It tracks the prices paid for renting property from private landlords in Great Britain.

IPHRP is produced from a number of administrative sources and is classified as experimental by ONS.

The index compares trends (rather than levels) in average private sector rents across English regions, Wales and Scotland. It uses a complex mix-adjustment and weighting process to produce a single index for each area. This index uses data on actual new and ongoing rents.

The sample ensures that the index is representative of the stock at regional level and that it isn't distorted by units dropping out of the sample because they switch to LHA or for other reasons. This is an advantage over the VOA dataset where the sample is changing over time and may not be representative.

Tables show monthly data. Data is updated once a quarter.

Index level (January 2011 = 100). Not seasonally adjusted.

See more on the ONS Website

The prime property rental real estate market in Outer London is expected to see an overall increase in rental rates during the ********* period between 2025 and 2029. Over the ********* period, the cumulative prime rental growth is forecast at **** percent. Nationwide, residential rents have soared since 2021, with the annual rental growth peaking at over **** percent in **********.

London Property Prices Dataset 200k+ records Overview This dataset offers a comprehensive snapshot of residential properties in London, capturing both historical and current market data. It includes property-specific information such as address, geographic coordinates, and various price estimates. Data spans from past transaction prices to present estimates for sale and rental values, making it ideal for real estate analysis, investment modeling, and trend forecasting.

Key Columns fullAddress: Complete address of the property. postcode: Postal code identifying specific areas in London. outcode: First part of the postcode, grouping properties into broader geographic zones. latitude & longitude: Geographic coordinates for mapping or location-based analysis. property details: Includes bathrooms, bedrooms, floorAreaSqM, livingRooms, tenure (e.g., leasehold or freehold), and propertyType (e.g., flat, maisonette). energy rating: Current energy rating, indicating the property’s energy efficiency. Pricing Information Rental Estimates: Ranges for estimated rental values (rentEstimate_lowerPrice, rentEstimate_currentPrice, rentEstimate_upperPrice). Sale Estimates: Current sale price estimates with confidence levels and historical changes. saleEstimate_currentPrice: Current estimated sale price. saleEstimate_confidenceLevel: Confidence in the sale price estimate (LOW, MEDIUM, HIGH). saleEstimate_valueChange: Numeric and percentage change in sale value over time. Transaction History: Date-stamped sale prices with historic price changes, providing insight into property appreciation or depreciation. Potential Applications This dataset enables a variety of analyses:

Market Trend Analysis: Track how property values and rents have evolved over time. Investment Insights: Identify high-growth areas and property types based on historical and estimated price changes. Geospatial Analysis: Use location data to visualize price distributions and trends across London. Usage Recommendations This dataset is well-suited for machine learning projects predicting property values, rent estimations, or analyzing urban property trends. With rich details spanning multiple facets of the real estate market, it’s an essential resource for data scientists, analysts, and investors exploring the London property market.

The prime property rental real estate market in Central London is expected to see an overall increase in rental rates during the five-year period between 2025 and 2029, according to the latest forecast. Over the five-year period, the cumulative prime rental growth is forecast at **** percent. Rent increase in Outer London is expected to follow the same trend.

In the five-year period between 2025 and 2029, the prime residential rent for existing properties in Greater London is expected to increase by 17.1 percent. The highest percentage change is expected to occur in 2025 and 2029, when rents are to rise by 3.5 percent. In the UK, rental growth has accelerated notably since 2021, with March 2024 experiencing a decade-high annual percentage growth. The trend reflects the complex interplay between housing affordability, mortgage rates, and supply of rental homes as the UK housing market navigates a period of transition.

The average agreed rent for new tenancies in the UK ranged from *** British pounds to ***** British pounds, depending on the region. On average, renters outside of London paid ***** British pounds, whereas in London, this figure amounted to ***** British pounds. Rents have been on the rise for many years, but the period after the COVID-19 pandemic accelerated this trend. Since 2015, the average rent in the UK increased by about ** percent, with about half of that gain achieved in the period after the pandemic. Why have UK rents increased so much? One of the main reasons driving up rental prices is the declining affordability of homeownership. Historically, house prices grew faster than rents, making renting more financially feasible than buying. In 2022, when the house price to rent ratio index peaked, house prices had outgrown rents by nearly ** percent since 2015. As house prices peaked in 2022, home buying slowed, exacerbating demand for rental properties and leading to soaring rental prices. How expensive is too expensive? Although there is no official requirement about the proportion of income spent on rent for it to be considered affordable, a popular rule is that rent should not exceed more than ** percent of income. In 2024, most renters in the UK exceeded that threshold, with the southern regions significantly more likely to spend upward of ** percent of their income on rent. Rental affordability has sparked a move away from the capital to other regions in the UK, such as the South East (Brighton and Southampton), the West Midlands (Birmingham) and the North West (Liverpool, Manchester, Blackpool and Preston).

London is the most expensive city for office real estate in Europe. In 2023, the per square foot cost of office space in London was higher than in any other European city. In West End, a Grade A office cost about 90 British pounds per square foot in 2023. Prime offices were even more expensive, at 135 British pounds per square meter. Office yields Prime yields in Central London fluctuate depending on the district, but West End areas tend to have lower yields compared to other areas, such as Stratford or Canary Wharf. The prime office yield in Mayfair/St. James' in 2023 was the lowest among the major London office submarkets. In real estate, yields measure the potential return of a rental property and are calculated as the ratio of the property's rental income to the investment cost. Typically, prime office yields in London are lower than the rest of the UK, which is mostly due to the highly competitive market and high investment costs. Vacancy rates Despite the high office rental costs in England’s capital city, vacancy rates in many of London's main office markets were below seven percent in 2023. This is good news for the office sector, as during the coronavirus (COVID-19) pandemic, the share of vacant office space across all Central London districts spiked dramatically. Compared to other European cities, London was in the middle of the ranking, alongside Frankfurt and Lisbon.

Comprehensive Airbnb dataset for London, United Kingdom providing detailed vacation rental analytics including property listings, pricing trends, host information, review sentiment analysis, and occupancy rates for short-term rental market intelligence and investment research.

Price to Rent Ratio in the United Kingdom decreased to 111.37 in the second quarter of 2025 from 113.72 in the first quarter of 2025. This dataset includes a chart with historical data for the United Kingdom Price to Rent Ratio.

Historical market performance data including occupancy rates, average daily rates, and revenue trends

PHRPI: Great Britain: excl London data was reported at 109.786 Jan2015=100 in Jul 2020. This records an increase from the previous number of 109.671 Jan2015=100 for Jun 2020. PHRPI: Great Britain: excl London data is updated monthly, averaging 101.233 Jan2015=100 from Jan 2011 (Median) to Jul 2020, with 115 observations. The data reached an all-time high of 109.786 Jan2015=100 in Jul 2020 and a record low of 94.548 Jan2015=100 in Jan 2011. PHRPI: Great Britain: excl London data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.EB015: Private Housing Rental Prices Index: January 2015=100.

United Kingdom PHRPI: England: London data was reported at 108.337 Jan2015=100 in Jul 2020. This records an increase from the previous number of 108.333 Jan2015=100 for Jun 2020. United Kingdom PHRPI: England: London data is updated monthly, averaging 93.794 Jan2015=100 from Jan 2005 (Median) to Jul 2020, with 187 observations. The data reached an all-time high of 108.337 Jan2015=100 in Jul 2020 and a record low of 75.483 Jan2015=100 in Feb 2005. United Kingdom PHRPI: England: London data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.EB015: Private Housing Rental Prices Index: January 2015=100.