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.

This report contains details of Environment Agency Corporate properties & Residential properties listing the address, postcode, current use and occupation status.

This series excludes second hand apartment prices. 2015 Figure changed on the 27/6/16 as revised data received from the Local authority Measured in €

Zoopla Properties Listing dataset to explore detailed property information, including pricing, location, and features. Popular use cases include real estate market analysis, property valuation, and investment research.

Use our Zoopla Properties Listing Information dataset to explore detailed property listings, including property details, pricing, location, and market trends across various regions. This dataset provides valuable insights into property valuations, consumer preferences, and real estate dynamics, enabling businesses and researchers to make data-driven decisions.

Tailored for real estate professionals, investors, and market analysts, this dataset supports market trend analysis, property valuation assessments, and investment strategy development. Whether you're evaluating property investments, tracking market conditions, or conducting competitive analysis, the Zoopla Properties Listing Information dataset is a key resource for navigating the real estate landscape.

Dataset Features

• url: The original listing URL on Zoopla.
• property_type: Type of property (e.g., Flat, Detached, Terraced).
• property_title: Title or headline of the listing.
• address: Full postal address of the property.
• google_map_location: Geographical coordinates (latitude, longitude).
• virtual_tour: Link to a virtual walkthrough or 360° tour.
• street_view: Link to the Google Street View of the property.
• url_property: Zoopla-specific property page URL.
• currency: Currency in which the property is priced.
• deposit: Security deposit required (typically for rentals).
• letting_arrangements: Letting details (e.g., short-term, long-term).
• breadcrumbs: Category breadcrumbs for location and type navigation.
• availability: Availability status (e.g., Available now, Under offer).
• commonhold_details: Information about commonhold ownership.
• service_charge: Annual service charge (for leasehold properties).
• ground_rent: Annual ground rent cost.
• time_remaining_on_lease: Lease duration remaining in years.
• ecp_rating: Energy Performance Certificate rating.
• council_tax_band: Council tax band.
• price_per_size: Price per square meter or foot.
• tenure: Tenure type (Freehold, Leasehold, etc.).
• tags: Descriptive tags (e.g., New build, Chain-free).
• features: List of property features (e.g., garden, garage, en-suite).
• property_images: URLs to property photos.
• additional_links: Other related links (e.g., brochures, agents).
• listing_history: Changes in price, listing dates, and status over time.
• agent_details: Information about the listing agent or agency.
• points_ofInterest: Nearby landmarks or facilities (schools, transport).
• bedrooms Number of bedrooms.
• price: Listed price of the property.
• bathrooms: Number of bathrooms.
• receptions: Number of reception rooms (living, dining, etc.).
• country_code: Country code of the listing (e.g., GB for UK).
• energy_performance_certificate: Detailed EPC documentation or summary.
• floor_plans: URL or data related to property floor plans.
• description: Detailed property description from the listing.
• price_per_time: Price frequency for rentals (e.g., per week, per month).
• property_size: Area of the property (in sq ft or sq m).
• market_stats_last_12_months: Market stats for the area over the past year.
• market_stats_renta_opportunities: Data on rental yields and opportunities.
• market_stats_recent_sales_nearby: Sales history for nearby properties.
• market_stats_rental_activity: Local rental activity trends.
• uprn: Unique Property Reference Number for UK properties.
• listing_label: Label/category of the listing.

Distribution

• Data Volume: 44 Columns and 95.92K Rows
• Format: CSV

Usage

This dataset is ideal for a variety of high-impact applications:

• Property Valuation Models: Train ML models to estimate market value using features like size, location, and amenities.
• Real Estate Market Analysis: Identify pricing trends, demand patterns, and neighbourhood growth over time.
• Investment Research: Analyse rental yields, price per square foot, and historical price changes for investment opportunities.
• Recommendation Systems: Develop intelligent recommendation engines for property buyers and renters.
• Urban Planning & Policy Making: Use location and infrastructure data to guide city development.
• Sentiment & Description Analysis: NLP-driven insights from listing descriptions and agent narratives.

Coverage

• Geographic Coverage: Global
• Time Range: Ongoing collection; historical data may span multiple years

License

CUSTOM

Please review the respective licenses below:

1. Data Provider's License
   -

PLEASE NOTE: This record has been retired. It has been superseded by: https://environment.data.gov.uk/dataset/dcbad548-ba75-4f32-bf22-306f9059343e These documents are designed to provide a simple, easy to refer to analysis of the numbers of people, property and extent of land within areas at risk of flooding taken from the risk of flooding from rivers and sea (RoFRS) products. We use them in Environment Agency publications and reports; and to answer queries.

We use the Risk of Flooding from Rivers and Sea products and the National Receptor Dataset (NRD) 2023* to provide a breakdown of numbers and areas of land at risk of flooding within England, English Local Authorities, English MP Constituencies, Lead Local Flood Authorities and Environment Agency Partnership and Strategic Overview areas.

There are 5 spreadsheets available which provide the following summary information: • Number of properties in areas at risk from flooding from rivers and sea • Number of people in areas at risk from flooding from rivers and sea • Number of deprived properties in areas at risk of flooding from rivers and sea • Change in number of properties in areas at risk of flooding from rivers and sea (since previous update) • Change in area of land at risk of flooding from rivers and sea (since previous update)

Further explanations about the information presented in the spreadsheets such as flood likelihood category, property types and how numbers are calculated are presented in the first tab of each spreadsheet.

*NRD2023 was developed by the Environment Agency, however it is based on Ordnance Survey data (OS Address Base Premium) and we do not have permission to release as Open Data.

This report produced for Capgemini contains details of Environment Agency corporate property listing the CIS rating - includes address, postcode, grid reference, current use and status.

Introduction

Welcome to the UK English Call Center Speech Dataset for the Real Estate domain designed to enhance the development of call center speech recognition models specifically for the Real Estate industry. This dataset is meticulously curated to support advanced speech recognition, natural language processing, conversational AI, and generative voice AI algorithms.

Speech Data:

This training dataset comprises 30 Hours of call center audio recordings covering various topics and scenarios related to the Real Estate domain, designed to build robust and accurate customer service speech technology.

Topic Diversity

This dataset offers a diverse range of conversation topics, call types, and outcomes, including both inbound and outbound calls with positive, neutral, and negative outcomes.

This extensive coverage ensures the dataset includes realistic call center scenarios, which is essential for developing effective customer support speech recognition models.

Transcription

To facilitate your workflow, the dataset includes manual verbatim transcriptions of each call center audio file in JSON format. These transcriptions feature:

These ready-to-use transcriptions accelerate the development of the Real Estate domain call center conversational AI and ASR models for the UK English language.

Metadata

The dataset provides comprehensive metadata for each conversation and participant:

This metadata is a powerful tool for understanding and characterizing the data, enabling informed decision-making in the development of UK English call center speech recognition models.

Usage and

This dataset provides Census 2021 estimates that classify households in England and Wales by accommodation type, by type of central heating in household, and by tenure. The estimates are as at Census Day, 21 March 2021.

The ONS have made changes to housing definitions since the 2011 Census. Take care if you compare Census 2021 results for this topic with those from the 2011 Census. Read more about this quality notice.

There is evidence of people incorrectly identifying their type of landlord as ”Council or local authority” or “Housing association”. You should add these two categories together when analysing data that uses this variable. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Lower tier local authorities

Lower tier local authorities provide a range of local services. There are 309 lower tier local authorities in England made up of 181 non-metropolitan districts, 59 unitary authorities, 36 metropolitan districts and 33 London boroughs (including City of London). In Wales there are 22 local authorities made up of 22 unitary authorities.

Coverage

Census 2021 statistics are published for the whole of England and Wales. However, data is available by:

country - for example, Wales region - for example, London local authority - for example, Cornwall health area – for example, Clinical Commissioning Group statistical area - for example, MSOA or LSOA

Accommodation type

The type of building or structure used or available by an individual or household.

This could be:

• the whole house or bungalow
• a flat, maisonette or apartment
• a temporary or mobile structure, such as a caravan

More information about accommodation types

Whole house or bungalow:

This property type is not divided into flats or other living accommodation. There are three types of whole houses or bungalows.

Detached:

None of the living accommodation is attached to another property but can be attached to a garage.

Semi-detached:

The living accommodation is joined to another house or bungalow by a common wall that they share.

Terraced:

A mid-terraced house is located between two other houses and shares two common walls. An end-of-terrace house is part of a terraced development but only shares one common wall.

Flats (Apartments) and maisonettes:

An apartment is another word for a flat. A maisonette is a 2-storey flat.

Type of central heating in household

Central heating is a heating system used to heat multiple rooms in a building by circulating air or heated water through pipes to radiators or vents. Single or multiple fuel sources can fuel these systems.

Central heating systems that are unused or not working are still considered. No information is available for household spaces with no usual residents.

Tenure of household

Whether a household owns or rents the accommodation that it occupies.

Owner-occupied accommodation can be:

• owned outright, which is where the household owns all of the accommodation
• with a mortgage or loan
• part-owned on a shared ownership scheme

Rented accommodation can be:

• private rented, for example, rented through a private landlord or letting agent
• social rented through a local council or housing association

This information is not available for household spaces with no usual residents.

This report contains details of Environment Agency corporate property - including address, postcode, grid reference, current use and status. April 2016

This is the mean (average) gross monthly rent in pounds for properties with one bedroom on the private rental market for the area, over a 12 month period. These are self-contained properties including houses, bungalows, flats and maisonettes. These statistics taken from the Valuation Office Agency (VOA) administrative database are simple price averages rounded to the nearest £1. The sample used to produce these statistics is not statistical and may not be consistent over time; as such, these data should not be compared across time periods or between areas. Housing Benefit claimants are not included in the sample.Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Dataset population: Households

Household size

The size of a household is equal to the number of usual residents in the household. Visitors staying at an address do not contribute to that household's size because they are counted in the household of their place of usual residence.

Number of bedrooms

The number of bedrooms in a household's accommodation.

A bedroom is defined as any room that was intended to be used as a bedroom when the property was built, or any room that has been permanently converted for use as a bedroom. It also includes all rooms intended for use as a bedroom even if not being used as a bedroom at the time of the census. Bedsits and studio flats are counted as having one bedroom.

The number of bedrooms is not available for household spaces with no usual residents.

Tenure

Tenure provides information about whether a household rents or owns the accommodation that it occupies and, if rented, combines this with information about the type of landlord who owns or manages the accommodation.

Description Summary Belvoir Group (BLV) is one of the largest property franchisors in the UK. BLV is a resilient business with 26 years of consecutive earnings growth, high margins and low capital needs. The company has been growing FCF per share at 15-25% per year, while also paying a 4.5% dividend yield. At a 10% 2023 FCF yield with a net cash balance sheet, BLV provides an attractive opportunity for small funds and personal accounts. Business background BLV started out in 1995 as a pure-play lettings franchisor. Over time they complemented the business with estate sales and financial services. Today, BLV operates 338 franchised offices under six different regional brands: Belvoir (159 offices), Northwood (91), Newton Fallowell (39), Nicholas Humphreys (20), Lovelle (16) and Mr and Mrs Clarke (13). They also operate a network of 284 mortgage advisors. best stock screener best investing platforms best stock screeners At its core this is a franchise business. BLV derives 80% of its gross profit from royalties paid by their property franchisees. BLV provides them with central support (e.g. a known brand, operational best practices, back-office, training and certifications, valuation and rental data/services, regional advertising and assistance in doing acquisitions) in return for a 10-12% royalty fee of the monthly revenue. As most know, franchise businesses possess attractive features with recurring revenues, high incremental margins and little capex. BLV’s franchisees are largely local entrepreneurs with 100% skin in the game. The majority operate just one to three offices. There are no large established franchisees as is the case with the major hotel and fast-food chains. The £150-200k start-up costs of running a BLV office, means that the franchisees generally have put all their money into the business. Alignment of incentives on the operating level doesn’t get much better than this. This is why the franchisees consistently outgrow the industry by a few percentage points. When the first lockdown ended, it took some of the corporate estate agency chains two months to reopen, while BLV’s franchisees opened their doors on the first day possible. The company reports into two divisions, property franchising and financial services. The former can be split between lettings and estate sales. Lettings (60% of gross profit). This is by far the best part of the business. Lettings is the managing of residential property on behalf of a landlord. This includes finding a tenant, doing the related administration/compliance, property visits and managing the tenant relationship. The franchisees charge landlords 1-1.5% of the monthly rent. Through its franchisees, BLV manages 75.5k properties, up from 37k in 2015. This segment has been growing gross profit at a low teens CAGR (incl. M&A). Lettings is a resilient business as people have to pay rent no matter the state of the economy. Organic growth has been positive every year since inception. Estate sales (20% of gross profit). The business of selling houses, which clearly is not as attractive as lettings. BLV’s franchisees charge a 1% commission on the value of the house. BLV sold 11k houses in 2022, up from 7k in 2017. Like lettings, gross profit has been growing at a low teens CAGR (incl. M&A). This segment is less cyclical than the overall housing market as they have historically grown above market, continue to attract new franchisees and generate 93% of gross profit outside of the Greater London area (less prone to boom and busts cycles). In 2022, BLV saw a 11% decrease in housing transactions compared to a 15% drop for the overall UK housing market. Nvidia EV/EBITDA Kroger EV/EBITDA Kraft EV/EBITDA Chevron EV/EBITDA Verizon EV/EBITDA Financial services (20% of gross profit). BLV manages a network of 284 mortgage advisors. The majority of them (85%) are self-employed. While technically not a franchise business, it works similarly. BLV provides central support and leads in return for a 25% cut of the fees. BLV works with one of UK’s leading mortgage intermediaries, the Mortgage Advice Bureau (MAB). MAB offers BLV access to >90 lenders, looks after compliance and processes the mortgages. The typical mortgage fee is 0.3% of the amount borrowed. In terms of cyclicality, this segment sits between lettings and estate sales. More than 90% of mortgages in the UK are two to five years in length, after which it typically gets refinanced. As such, there is a stable stream of mortgage renewals each year. Around half of the segment is refinancing-related and the other half is tied to housing transactions. Industry overview The UK counts 4.6m private-rented properties and sells 1.2m houses in a normal year. The majority of these are managed and sold by one of the more than 20k estate agencies/lettings offices. At least 15k of these are independents. The rest consists of agency networks that range from a handful of offices to in the hundreds. The largest...

PLEASE NOTE: This record has been retired. It has been superseded by: https://environment.data.gov.uk/dataset/b5aaa28d-6eb9-460e-8d6f-43caa71fbe0e

This dataset is not suitable for identifying whether an individual property will flood.

This bundle includes the full set of datasets from our Risk of Flooding from Surface Water (RoFSW) mapping, previously known as the updated Flood Map for Surface Water (uFMfSW). It is a group of datasets previously available as the uFMfSW Complex Package. Further information on using these datasets can be found at the Resource Locator link below.

Information Warnings: Risk of Flooding from Surface Water is not to be used at property level. If the Content is displayed in map form to others we recommend it should not be used with basemapping more detailed than 1:10,000 as the data is open to misinterpretation if used as a more detailed scale. Because of the way they have been produced and the fact that they are indicative, the maps are not appropriate to act as the sole evidence for any specific planning or regulatory decision or assessment of risk in relation to flooding at any scale without further supporting studies or evidence.

Dataset population: Bedrooms/Household spaces

Number of bedrooms

The number of bedrooms in a household's accommodation.

A bedroom is defined as any room that was intended to be used as a bedroom when the property was built, or any room that has been permanently converted for use as a bedroom. It also includes all rooms intended for use as a bedroom even if not being used as a bedroom at the time of the census. Bedsits and studio flats are counted as having one bedroom.

The number of bedrooms is not available for household spaces with no usual residents.

To study housing movement caused by new construction for rental by the Northern Ireland Housing Executive and new private construction for sale. To collect data in order to test a wide range of hypotheses from American work on filtering and from recent British studies./Main Topics:/Attitudinal/Behavioural Questions/Residence: place, type, date of construction, number of rooms/bedrooms, shared amenities, central heating, date of move, house with job./Details of tenure:/i. Renters: amount, rates, rebates, other regular payments (e.g. service charges), rented from Northern Ireland Housing Executive (NIHE) or private landlord, decisions for/against buying (reasons), application to NIHE (reasons for non-application), whether house offered/accepted/refused from NIHE (reasons)./ii. Owners: price, deposit, mortgage/loan, how money raised, repayments, rates, how estate agent selected, application to NIHE, length of time between application and response, whether house offered/accepted/refused, reasons for not renting. Reasons for moving, reasons for choice of present residence, temporary accommodation between move, whether family together, other areas where accommodation sought, household composition change. Method of search for accommodation, distance from previous residence, reasons for vacancy in previous residence (where appropriate)./Background Variables - Age of head of household, number of persons/earners/dependent children in household.

Dataset population: Bedrooms/Household spaces

Number of bedrooms

The number of bedrooms in a household's accommodation.

A bedroom is defined as any room that was intended to be used as a bedroom when the property was built, or any room that has been permanently converted for use as a bedroom. It also includes all rooms intended for use as a bedroom even if not being used as a bedroom at the time of the census. Bedsits and studio flats are counted as having one bedroom.

The number of bedrooms is not available for household spaces with no usual residents.

Dataset population: Households

Household composition

Household composition classifies households according to the relationships between the household members. Households consisting of one family and no other usual residents are classified according to the type of family (married, same-sex civil partnership or cohabiting couple family, or lone parent family) and the number of dependent children. Other households are classified by the number of people, the number of dependent children, or whether the household consists only of students or only of people aged 65 and over.

Number of bedrooms

The number of bedrooms in a household's accommodation.

A bedroom is defined as any room that was intended to be used as a bedroom when the property was built, or any room that has been permanently converted for use as a bedroom. It also includes all rooms intended for use as a bedroom even if not being used as a bedroom at the time of the census. Bedsits and studio flats are counted as having one bedroom.

The number of bedrooms is not available for household spaces with no usual residents.

This dataset provides Census 2021 estimates that classify households in England and Wales by dwellings that are HMOs by accommodation type. The estimates are as at Census Day, 21 March 2021.

Improvements to the Census address frame allowed us to accurately list multiple household spaces within the same building. This means the data are more often counted as distinct households within separate dwellings reflecting living arrangements. Read more about this quality notice.

We have made changes to housing definitions since the 2011 Census. Take care if you compare Census 2021 results for this topic with those from the 2011 Census. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Coverage

Census 2021 statistics are published for the whole of England and Wales. Data are also available in these geographic types:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Households of multiple occupancy (HMO)

A dwelling where unrelated tenants rent their home from a private landlord is a HMO, if both of the following apply:

• at least three unrelated individuals live there, forming more than one household
• toilet, bathroom or kitchen facilities are shared with other tenants

A small HMO is shared by 3 or 4 unrelated tenants. A large HMO is shared by 5 or more unrelated tenants.

Accommodation type

The type of building or structure used or available by an individual or household.

This could be:

• the whole house or bungalow
• a flat, maisonette or apartment
• a temporary or mobile structure, such as a caravan

More information about accommodation types

Whole house or bungalow:

This property type is not divided into flats or other living accommodation. There are three types of whole houses or bungalows.

Detached:

None of the living accommodation is attached to another property but can be attached to a garage.

Semi-detached:

The living accommodation is joined to another house or bungalow by a common wall that they share.

Terraced:

A mid-terraced house is located between two other houses and shares two common walls. An end-of-terrace house is part of a terraced development but only shares one common wall.

Flats (Apartments) and maisonettes:

An apartment is another word for a flat. A maisonette is a 2-storey flat.

PLEASE NOTE: This record has been retired. It has been superseded by: https://environment.data.gov.uk/dataset/b5aaa28d-6eb9-460e-8d6f-43caa71fbe0e

This dataset is not suitable for identifying whether an individual property will flood. GIS layer showing information about the modelling used at that location. Including whether local outputs were used to replace the national outputs and other parameters, such as the model software used. This dataset is one output of our Risk of Flooding from Surface Water (RoFSW) mapping, previously known as the updated Flood Map for Surface Water (uFMfSW). It is one of a group of datasets previously available as the uFMfSW Complex Package. Further information on using these datasets can be found at the Resource Locator link below. Information Warnings: Risk of Flooding from Surface Water is not to be used at property level. If the Content is displayed in map form to others we recommend it should not be used with basemapping more detailed than 1:10,000 as the data is open to misinterpretation if used as a more detailed scale. Because of the way they have been produced and the fact that they are indicative, the maps are not appropriate to act as the sole evidence for any specific planning or regulatory decision or assessment of risk in relation to flooding at any scale without further supporting studies or evidence.

This report produced for the Document Management Team contains details of Environment Agency corporate property - including address, postcode, grid reference, current use and status. March 2016