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.

Sunbelt, HSS, and Speedy were the leading companies for equipment rental services in the United Kingdom in 2021. Sunbelt held roughly **** percent of the equipment rental market in the UK.

The UK residential rental market is poised for significant growth, with forecasts indicating a cumulative increase of nearly **** percent by 2029. This surge is expected to be front-loaded, with a robust *****percent rise anticipated in 2025. Rental growth has accelerated notably since 2021, with August 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.

In January 2025, the average monthly rent in Greater London reached ***** British pounds, confirming its position as the most expensive area for private tenants. Rental prices across England stood at ***** British pounds, while the average for Great Britain was recorded at ***** British pounds. The North East remains the most affordable region, with rents at 710 British pounds. According to the UK Price Index of Private Rents (PIPR), rental growth has accelerated since 2021, with the cost of rental properties rising by nearly **** percent annually in January 2025.

Housing or Camping Trailers Market Size Value in the UK, 2021 Discover more data with ReportLinker!

The total turnover of the equipment rental market in the United Kingdom fluctuated widely over the last decade with a positive trend. By 2021, the equipment rental market turnover in the UK reached *** billion euros and is forecasted to exceed *** billion euros by 2023.

• The CORE lettings data include information on the characteristics of both private registered providers and local authority new social housing tenants and the homes they rent. For each year, data is structured into four datasets based on type of letting (social rent general needs and supported needs, and affordable rent general needs and supported needs). It is a regulatory requirement for providers registered with the Homes and Communities Agency to supply the data. For those who are not registered, submissions are voluntary. Local authorities have participated in CORE since 2004-5 on a voluntary basis. Weighting is applied to adjust for non-response by local authorities for social rent datasets, and imputation is also carried out to address item-level non-response of key data on tenant characteristics for both local authorities and privately registered providers. The three datasets for affordable rent are not weighted or imputed.
• The CORE sales data include information on sales of local authority dwellings and some summary details on sales of registered provider stock (previously known as Registered Social Landlords or housing associations). Collecting these data allows for a better understanding of the socio-economic and demographic make-up of affordable housing customers and local housing markets and products. The sales dataset is imputed, with more information on the imputations within the data dictionary.

• For the standard End User Licence (EUL) version (SNs 9237 and 9238), the geographic level of the data is set at Government Office Region (GOR). Letting and voiding dates are provided at month and year only; age variables are top-coded at 90 years; income, benefits, earnings, charge and shortfall variables are banded to disguise unique values; landlords are grouped into coded categories.
• For the Special Licence access (SL) version (SNs 9239 and 9240), geographic level is set at Local Authority. The SL data have more restrictive access conditions than those made available under the standard EUL. Prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version.
• For Secure Access (SNs 9241 and 9242), the full CORE datasets are available, with some key variables recoded. Prospective users of the Secure Access version will need to fulfil additional requirements, including completion of face-to-face training and agreement to further stringent access conditions.

SN 9237: Continuous Recording of Social Housing Lettings (CORE):

This study contains the EUL-level CORE Lettings data only. The EUL CORE Sales data are held under SN 9238.

Housing or Camping Trailers Market Size Value Per Capita in the UK, 2021 Discover more data with ReportLinker!

The UK car rental market is anticipated to experience substantial growth, expanding from USD 3.80 billion in 2025 to approximately USD 6.43 billion by 2035 at a CAGR of 5.4% throughout the forecast period.

Metric	Value
Industry Size (2025E)	USD 3.80 billion
Industry Value (2035F)	USD 6.43 billion
CAGR (2025 to 2035)	5.4%

Semi-Annual Market Update

Particular	Value CAGR
H1 2024	6.3% (2024 to 2034)
H2 2024	4.8% (2024 to 2034)
H1 2025	6.1% (2025 to 2035)
H2 2025	4.7% (2025 to 2035)

Per Capita Spending Analysis

Year	Population (millions)
2020	67.9
2021	68.3
2022	68.6
2023	69
2024	69.3

Year	Per Capita Spending (USD)
2020	18.82
2021	20.03
2022	22.68
2023	25.58
2024	29.03

Market Size and CAGR: The North America vehicle rental market was valued at approximately $XX million in 2025 and is projected to grow at a CAGR of 9.00% during the period 2025-2033. The growth of the market is primarily attributed to increasing tourism, business travel, and the rising popularity of online booking platforms. Key Drivers, Trends, and Restraints: The key drivers of the market include the growing demand for convenience, cost-effectiveness, and flexibility in transportation. The trend towards online booking and the increasing availability of mobile apps have further contributed to the market's growth. However, factors such as concerns over safety and security, as well as rising fuel prices, may act as restraints to the market's expansion. North America vehicle rental market is expected to witness a remarkable growth in the near future. The growth of this market is attributed to a number of factors, including the increasing popularity of travel and tourism, the rising number of business travelers, and the growing demand for convenient and affordable transportation options. The North America vehicle rental market is highly concentrated, with a few major players accounting for a significant share of the market. These players include Enterprise Holdings Inc., Hertz Corporation, Avis Budget Group Inc., and Sixt SE. These companies offer a wide range of vehicles to meet the needs of different customers, from economy cars to luxury vehicles. Recent developments include: In June 2022, Hertz Company announced a USD 4.2 billion deal to purchase 100,000 Tesla fully electric vehicles (EVs) by the end of 2022 set off a race among rental car agencies. Hertz did not state the overall number of vehicles in its fleet so it's unknown how many Teslas are available in the more than 30 markets currently offering EVs, which now also include the first of the 65,000 Polestar 2s - an EV brand jointly owned by Volvo and its Chinese parent Geely which has planned to go public through a SPAC deal., In September 2021, Enterprise Holdings announced its collaboration with Microsoft for bringing connected car technology to the former company's car rental, commercial trucks, and exotic vehicle rental fleets in the United States and soon the UK and Canada. Through this collaboration, Enterprise Holding is expected to advance the streamlined rental experience of the future., In October 2021, the Enterprise Holdings subsidiary announced an agreement to acquire Walker Vehicle Rentals, a commercial vehicle rental company. Enterprise has its presence in the commercial vehicle rental market in Ireland and the acquisition helped the business to enhance the choice and value of vehicles and services it delivers to organizations.. Key drivers for this market are: Growth in Construction Industry. Potential restraints include: High Maintenance Cost of Construction Equipment. Notable trends are: Short term Rental Segment of Market Expected to Drive Demand in the Market.

This data sets out levels of support with housing costs, known as the Local Housing Allowance (LHA) rate, for 2013-14, 2014-15, 2015-16, 2016-17, 2017-18, 2019-19, 2019-20, 2020-21 and 2021-22. The Allowance is set for different property sizes in each Broad Rental Market Area, or BRMA. These are not the same as county or district areas. You can find out more about BRMAs here. The Valuation Office Agency (VOA) completes a six-monthly survey of private rents across England which is used to set the LHA rates. However in 2016-17, many rates were frozen at 2015-16 levels due to national austerity measures. Since then, selected BRMAs have had their LHA rates adjusted, despite the general freeze. In 2020/21 rates were increased up to a set maximum to help mitigate the effects of the covid-19 pandemic, so LHAs would support a higher level rent than previously. For 2021-22 LHA rates have been held at the same level as 2020-21. The data comes from the Valuation Office Agency (VOA) and is available online at www.gov.uk. Individuals should seek advice about their individual claims from their local authority benefit team. The VOA provides a search facility to help applicants identify the relevant LHA for them. This search is based on postcode and property size and can be found at http://lha-direct.voa.gov.uk/search.aspx.

Last updated on 22 Feb 2025

Introduction

This dataset provides comprehensive information on property sales in England and Wales, sourced from the UK government's HM Land Registry. Although the government site claims to update on the same day each month, actual updates can vary. To bridge this update variation gap, our fully automated ETL pipeline retrieves the official government data on a daily basis. This ensures that the dataset always reflects the most current transaction data available.

ETL Process

Our ETL (Extract, Transform, Load) process is designed to automate the data update and publishing workflow: 1. Extract:
The pipeline uses web scraping to retrieve the latest data from the official government website. This step is necessary as the site does not offer an API. 2. Transform:
Before loading the data, the ETL pipeline processes the dataset to ensure consistency and usability. As part of the transformation stage, the first column (Transaction_unique_identifier) is removed. This column is dropped during staging to focus on the most relevant transactional information. The column removal successfully reduces the data file size from almost 6GB to 3.1GB, and therefore will greatly increase the data analysis efficiency, and reduces the chance of kernal error/restart. 3. Load:
Finally, the transformed data is loaded into the dataset.

The transformed data is loaded into the dataset in two parts: - Complete Data (pp-complete.csv): This file encompasses all records from January 1995 to the present. The complete data file is replaced during each update to reflect any corrections or additional historical data. The first column is price. - Monthly Data: A separate monthly file is amended each month. This monthly archive ensures a complete record of updates over time, allowing users to track changes and trends more granularly.

Summary of Results

The dataset (pp-complete.csv) contains records of property sales dating back to January 1995, up to the most recent monthly data. It covers various types of transactions—from residential to commercial properties—providing a holistic view of the real estate market in England and Wales.

Column Descriptions

The original data includes the following columns: - Transaction_unique_identifier
- price
- Date_of_Transfer
- postcode
- Property_Type
- Old/New
- Duration
- PAON
- SAON
- Street
- Locality
- Town/City
- District
- County
- PPDCategory_Type
- Record_Status - monthly_file_only

Note: As part of the transformation process, the Transaction_unique_identifier column is removed from the final published pp-complete.csv data file. Therefore the first column of the pp-complete.csv file is price.

Address data Explanation - Postcode: The postal code where the property is located. - PAON (Primary Addressable Object Name): Typically the house number or name. - SAON (Secondary Addressable Object Name): Additional information if the building is divided into flats or sub-buildings. - Street: The street name where the property is located. - Locality: Additional locality information. - Town/City: The town or city where the property is located. - District: The district in which the property resides. - County: The county where the property is located. - Price Paid: The price for which the property was sold.

Legal and Ethical Considerations

Ownership and Attribution This dataset is the property of HM Land Registry and is released under the Open Government Licence (OGL). If you use or publish this dataset, you are required to include the following attribution statement:

>"Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0."

Usage Guidelines

The data can be used for both commercial and non-commercial purposes.

The OGL does not cover third-party rights, which HM Land Registry is not authorized to license. For any other use of the Address Data, you must contact Royal Mail.

Suggested Usages

Market Trend Analysis: Understand the ups and downs of the property market over time. Investment Research: Identify potential areas for property investment. Academic Studies: Use the data for economic research and studies related to the housing market. Policy Making: Assist government agencies in making informed decisions regarding housing policies. Real Estate Apps: Integrate the data into apps that provide property price information services.

By using this dataset, you agree to abide by the terms and conditions as specified by HM Land Registry. Failure to do so may result in legal consequences.

The CORE datasets contained in the study cover annual official statistics on new lettings of the stock owned by local authorities and private registered providers of social housing in England, as well as sales of the social stock owned by private registered providers. For each year, data is structured into five datasets, four based on type of letting (social rent general needs and supported needs, and affordable rent general needs and supported needs) and one based on sales by private registered providers. All datasets are based on administrative data collected via the COntinuous REcording of Lettings and Sales (CORE) system. It is a regulatory requirement for providers registered with the Homes and Communities Agency to supply the data. For those who are not registered, submissions are voluntary. Local authorities have participated in CORE since 2004-5 on a voluntary basis. In the first year, only 24% of stock-holding local authorities participated, but the number of authorities participating has steadily increased, with all authorities submitting some data for 2013-14. Weighting is applied to adjust for non-response by local authorities for social rent datasets and imputation is also carried out to address item level non-response of key data on tenant characteristics, for both local authorities and private registered providers. The three datasets for affordable rent are not weighted or imputed. The sales dataset is imputed, with more information on the imputations within the data dictionary.

The collection of social housing lettings and sales data allows for a better understanding of the socio-economic and demographic make-up of affordable housing customers by tenure and of local housing markets and affordable housing products. These data are used by central government to inform national housing policy and by local government to inform their Strategic Housing Market Assessments. The data are also used by academics, researchers, charities and the wider public to understand social housing issues.

Further information may be found on the GOV.UK "https://www.gov.uk/government/collections/rents-lettings-and-tenancies" title="Social housing lettings"> Social housing lettings and "https://www.gov.uk/government/collections/social-housing-sales-including-right-to-buy-and-transfers" title="Social housing sales"> Social housing sales webpages.

Latest edition
For the 11th edition (August 2023), data and documentation for CORE Lettings for 2018/19-2021/22 have been added to the study. Sales data and documentation for 2018/19-2020/21 have been replaced, and 2021/22 added.

End User Licence, Special Licence and Secure Access datasets
The CORE datasets are available at three access levels, depending on the level of detail in the data.

• For the standard End User Licence (EUL) version (SN 7603) the geographic level of the data is set at Government Office Region (GOR). Letting and voiding dates are provided at month and year only; age variables are top-coded at 90 years; income, benefits, earnings, charge and shortfall variables are banded to disguise unique values; landlords are grouped into coded categories.
• For the Special Licence access (SL) version (SN 7604), the geographic level is set at Local Authority. The SL data have more restrictive access conditions than those made available under the standard EUL. Prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version.
• For Secure Access (SN 7686) the full CORE datasets are available, with some key variables recoded. Prospective users of the Secure Access version will need to fulfil additional requirements, including completion of face-to-face training and agreement to further stringent access conditions.

Uk & Ireland Home Appliances Rental Market size was valued at USD 0.8 Billion in 2024 and is expected to reach USD 1.9 Billion by 2032, growing at a CAGR of 11.4% from 2026 to 2032.

Uk & Ireland Home Appliances Rental Market Drivers

Flexible Working and Temporary Relocations: Flexible working and temporary relocations are propelling the UK and Ireland home appliances rental market. With 44% of UK working largely remote in 2023, and 15% temporarily moving, the need for furnished, appliance-equipped rentals has increased. The Residential Landlords Association estimates a 28% increase in short-term rentals with appliances between 2021 and 2023, which supports this trend even more.

Increasing Cost of Living Problems: The increasing cost of living problems is driving the UK and Ireland home appliances rental market. With UK inflation peaking at 11.1% in 2022 and appliance prices growing by 8.5%, many customers are looking for renting options to avoid large upfront payments. The Money and Pensions Service, 24% of UK families are now contemplating renting key home equipment.

Expanding Student Population: The expanding student population is boosting the UK and Ireland appliances rental market. In 2023, 562,060 students were accepted into UK institutions, with 70% requiring temporary housing. As more students choose furnished accommodation, there is a greater demand for rentals that include appliances. According to Unipol Student Homes, 35% of students choose rentals that include appliances, up from 22% in 2019. This trend is driven by the need for ease and flexibility in student life.

The Truck Rental Marketsize was valued at USD 133.36 USD Billion in 2023 and is projected to reach USD 229.14 USD Billion by 2032, exhibiting a CAGR of 7.0 % during the forecast period. Recent developments include: April 2023 – PENSKE announced an agreement to acquire Star Truck Rentals Inc., a transportation service company, to serve existing and new customers in North America. The acquisition will help PENSKE to expand its rental fleet and strengthen its market share in the region., March 2023 – British truck rental company, Asset Alliance Group, ordered 75 electric trucks from DAF, a Dutch Truck manufacturing company. The electric trucks are from the newest DAF XF, X.G., and XG+ vehicles and range up to 500 km., September 2022 – Enterprise Truck Rental expanded its presence in North America by opening 500 locations across the U.S. and Canada. The expansion will aid the company in meeting the rising demand for seasonal projects, e-commerce delivery rentals, and vehicles for personal truck rental needs., November 2021 – TIP acquired Steers Group Limited and its wholly-owned subsidiary Eurotrailer UK Ltd. to support a wide range of commercial vehicle hire services. The acquisition of Eurotrailer helped in asset diversification strategy along with a growing focus on heavy commercial vehicle rental services. , November 2021 – Herc Holdings, Inc. acquired a Toronto-based equipment rental company, Rapid Equipment Rental. The company also acquired Chicago-based SkyKing Lift Rentals, dealing in mobile elevating work platforms. The acquisition aims to provide a diverse mix of rental equipment to industrial, construction, and government customers.. Key drivers for this market are: Increasing Demand for Forged Products in Power, Agriculture, Aerospace, and Defense to Drive Industry Expansion. Potential restraints include: Rising Fuel Prices and Strict Regulatory Compliance May Restrain Market Growth. Notable trends are: Rising Adoption of Automation in Manufacturing to Drive Market Growth.

introduction

This dataset provides comprehensive information on property sales in England and Wales, as sourced from the UK government's HM Land Registry. It offers valuable insights into property transactions, including sale prices, locations, and types of properties sold. This dataset is particularly useful for analysts, researchers, and businesses looking to understand market trends, property valuations, and investment opportunities in the real estate sector of England and Wales.

Summary of Results

The dataset contains records of property sales dating back to January 1995, up to the most recent monthly data. It covers various types of transactions, from residential to commercial properties, providing a holistic view of the real estate market in England and Wales.

Column Descriptions

colnames=['Transaction_unique_identifier', 'price', 'Date_of_Transfer', 'postcode', 'Property_Type', 'Old/New', 'Duration', 'PAON', 'SAON', 'Street', 'Locality', 'Town/City', 'District', 'County', 'PPDCategory_Type', 'Record_Status - monthly_file_only' ]

Address data Explaination Postcode: The postal code where the property is located. PAON (Primary Addressable Object Name): Typically the house number or name. SAON (Secondary Addressable Object Name): Additional information if the building is divided into flats or sub-buildings. Street: The street name where the property is located. Locality: Additional locality information. Town/City:The town or city where the property is located. District: The district in which the property resides. County:The county where the property is located. Price Paid:The price for which the property was sold.

Legal and Ethical Considerations

Ownership and Attribution

This dataset is the property of HM Land Registry and is released under the Open Government Licence (OGL). If you use or publish this dataset, you are required to include the following attribution statement:

"Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0."

Usage Guidelines

The data can be used for both commercial and non-commercial purposes.

The OGL does not cover third-party rights, which HM Land Registry is not authorized to license. For any other use of the Address Data, you must contact Royal Mail.

##Suggested Usages Market Trend Analysis: Understand the ups and downs of the property market over time. Investment Research: Identify potential areas for property investment. Academic Studies: Use the data for economic research and studies related to the housing market. Policy Making: Assist government agencies in making informed decisions regarding housing policies. Real Estate Apps: Integrate the data into apps that provide property price information services.

By using this dataset, you agree to abide by the terms and conditions as specified by HM Land Registry. Failure to do so may result in legal consequences.

During the academic year 2020/2021, new, privately rented student en-suite housing cost on average almost ***** British pounds and was more expensive than the equivalent university owned accommodation. In the same year, university owned purpose-built student accommodation (PBSA) made up the largest share of student housing stock.

• The CORE lettings data include information on the characteristics of both private registered providers and local authority new social housing tenants and the homes they rent. For each year, data is structured into four datasets based on type of letting (social rent general needs and supported needs, and affordable rent general needs and supported needs). It is a regulatory requirement for providers registered with the Homes and Communities Agency to supply the data. For those who are not registered, submissions are voluntary. Local authorities have participated in CORE since 2004-5 on a voluntary basis. Weighting is applied to adjust for non-response by local authorities for social rent datasets, and imputation is also carried out to address item-level non-response of key data on tenant characteristics for both local authorities and privately registered providers. The three datasets for affordable rent are not weighted or imputed.
• The CORE sales data include information on sales of local authority dwellings and some summary details on sales of registered provider stock (previously known as Registered Social Landlords or housing associations). Collecting these data allows for a better understanding of the socio-economic and demographic make-up of affordable housing customers and local housing markets and products. The sales dataset is imputed, with more information on the imputations within the data dictionary.

• For the standard End User Licence (EUL) version (SNs 9237 and 9238), the geographic level of the data is set at Government Office Region (GOR). Letting and voiding dates are provided at month and year only; age variables are top-coded at 90 years; income, benefits, earnings, charge and shortfall variables are banded to disguise unique values; landlords are grouped into coded categories.
• For the Special Licence access (SL) version (SNs 9239 and 9240), geographic level is set at Local Authority. The SL data have more restrictive access conditions than those made available under the standard EUL. Prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version.
• For Secure Access (SNs 9241 and 9242), the full CORE datasets are available, with some key variables recoded. Prospective users of the Secure Access version will need to fulfil additional requirements, including completion of face-to-face training and agreement to further stringent access conditions.

SN 9239: Continuous Recording of Social Housing Lettings (CORE): Special Licence Access:

This study contains the SL-level CORE Lettings data only. The SL CORE Sales data are held under SN 9240.