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 dataset comprises residential properties listed for rent in the United Kingdom, ranging from 1bedroom to larger facilities. The data span from properties spread out in the major UK cities including Greater London, Greater Manchester, Birmingham, Leeds etc

Monthly data showing the proportion of gross income spent on rent for new tenancies across the UK, from Dataloft Rental Market Analytics (DRMA). These are official statistics in development. Source: Dataloft. Dataloft is a PriceHubble company.

Percentage of total monthly household income spent on private rent for England, Wales and Northern Ireland, and by regions of England, financial years ending 2016 to 2024.

Housing Benefit is available to help people pay their rent if they are on a low income. How much is paid depends on income and circumstances. The local council pays the benefit. The data includes Housing Benefit recipients: by County, Local Authority and by tenure throughout Great Britain.

Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

tenure trends at national and regional levels; cross-tenure comparisons of characteristics of households and their accommodation; overcrowding and under-occupation; need for specially adapted accommodation. the demographic and economic characteristics of renters; accommodation characteristics; rents and Housing Benefit; types of letting. trends in ownership; types of purchase; recent first-time buyers; types of mortgage; mortgage payments; leaseholders; moves out of owner occupation; second homes. mobility among all households; length of residence; demographic characteristics of movers; movement between tenures; movement into and out of tenures; tenancy deposits.

Context

Since 2008, guests and hosts have used Airbnb to expand on traveling possibilities and present more unique, personalized way of experiencing the world. This dataset describes the listing activity and metrics in Malibu, Jousha Tree, Brighton (UK) in 2023. The data is owned by Airbtics.

Airbtics is a short-term rental data & analytics company monitoring 20 million listings from various short-term rental booking sites.

Content

This data file includes all the needed information to find out the exact performance of Airbnb listings. You can find out how many nights were booked in a specific month, and average daily rate.

Acknowledgements

This public dataset is part of Airbnb, and the original source can be found on this website. The data was processed by Airbtics.

Inspiration

What is the occupancy rate of listing X in January 2023? What is the average daily rate of a listing Y in January 2023? How many bookings did a listing Z receive in January 2023?

To find more granular data in other cities, visit Airbtics.com

This dataset provides Census 2021 estimates that classify households with usual residents in England and Wales by various household characteristics, including variations in tenure by household size, household family composition, multi-generational households, and household level information on the age, ethnic group, religion, employment status and occupation of household members. The estimates are as at Census Day, 21 March 2021.

These datasets are part of Household characteristics by tenure, England and Wales: Census 2021, a release of results from the 2021 Census for England and Wales. Figures may differ slightly in future releases because of the impact of removing rounding and applying further statistical processes.

Total counts for some household groups may not match between published tables. This is to protect the confidentiality of households' data. Household counts have been rounded to the nearest 5 and any counts below 10 were suppressed; this is signified by a 'c' in the data tables.

This dataset uses middle layer super output area (MSOA) and lower layer super output area (LSOA) geography boundaries as of 2021 and local authority district geography boundaries as of 2022.

In this dataset, the number of households in an area is broken down by different variables and categories. If you were to sum the counts of households by each variable and category, it may not sum to the total of households in that area. This is because of rounding, suppression and that some tables only include data for certain household groups.

In this dataset, variables may have different categories for different geography levels. When variables are broken down by more categories, they may not sum to the total of the higher level categories due to rounding and suppression.

Social rent is not separated into “housing association, housing co-operative, charitable trust, registered social landlord” and “council or local authority districts” because of respondent error in identifying the type of landlord. This is particularly clear in results for areas which have no local authority districts housing stock, but there are households responding as having a “council or local authority districts” landlord type. Estimates are likely to be accurate when the social rent category is combined.

The Census Quality and Methodology Information report contains important information on:

• the uses and users of the census data
• the strengths and limitations of the census data
• the quality characteristics of the census data
• the methods used to produce the census data

Quality notes can be found here

Housing quality information for Census 2021 can be found here

Household

A household is defined as one person living alone, or a group of people (not necessarily related) living at the same address who share cooking facilities and a living room, sitting room or dining area. This includes all sheltered accommodation units in an establishment (irrespective of whether there are other communal facilities) and all people living in caravans on any type of site that is their usual residence; this will include anyone who has no other usual residence elsewhere in the UK. A household must contain at least one person whose place of usual residence is at the address. A group of short-term residents living together is not classified as a household, and neither is a group of people at an address where only visitors are staying.

Usual resident

For Census 2021, a usual resident of the UK is anyone who, on Census Day, was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more, or had a permanent UK address and was outside the UK and intended to be outside the UK for less than 12 months.

Household reference person (HRP)

A person who serves as a reference point, mainly based on economic activity and age, to characterize a whole household. The person is not necessarily the member of the household in whose name the accommodation is owned or rented.

Tenure

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; owned with a mortgage or loan; or 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; or lived in rent free, which is where the household does not own the accommodation and does not pay rent to live there, for example living in a relative or friend’s property or live-in carers or nannies. This information is not available for household spaces with no usual residents.

_Household size _

The number of usual residents in the household.

Household family composition

Households according to the relationships between members. Single-family households are classified by the number of dependent children and family type (married, civil partnership or cohabiting couple family, or lone parent family). Other households are classified by the number of people, the number of dependent children and whether the household consists only of students or only of people aged 66 years and over.

Multi-generational households

Households where people from across more than two generations of the same family live together. This includes households with grandparents and grandchildren whether or not the intervening generation also live in the household.

_Household combination of resident age _

Classifies households by the ages of household members on 21 March 2021. Households could be made up of residents aged 15 years and under; residents aged 16 to 64 years; residents aged 65 years and over; or a combination of these.

Ethnic group

The ethnic group that the person completing the census feels they belong to. This could be based on their culture, family background, identity or physical appearance. Respondents could choose one out of 19 tick-box response categories, including write-in response options. For more information, see ONS's Ethnic group, England and Wales: Census 2021 bulletin

Household combination of resident ethnic group

Classifies households by the ethnic groups household members identified with.

Religion

The religion people connect or identify with (their religious affiliation), whether or not they practice or have belief in it. This question was voluntary and includes people who identified with one of 8 tick-box response options, including 'No religion', alongside those who chose not to answer this question. For more information, see ONS's Religion, England and Wales: Census 2021 bulletin

Household combination of resident religion

Classifies households by the religious affiliation of household members who chose to answer the religion question. The classifications may include residents who did not answer the religion question.

Household combination of resident employment status

Classifies households by the employment status of household members aged 16 years and over between 15 and 21 March 2021. Households could be made up of employed residents (employee or self-employed); unemployed residents (looking for work and could start within two weeks, or waiting to start a job that had been offered and accepted); economically inactive residents (unemployed and had not looked for work between 22 February to 21 March 2021, or could not start work within two weeks); or a combination of these.

Occupation

"Classifies what people aged 16 years and over do as their main job. Their job title or details of activities they do in their job and any supervisory or management responsibilities form this classification. This information is used to code responses to an occupation using the Standard Occupational Classification (SOC) 2020. It classifies people who were in employment between 15 March and 21 March 2021, by the SOC code that represents their current occupation. The lowest level of detail available is the four-digit SOC code which includes all codes in three, two and one digit SOC code levels. Occupation classifications include :

• manager, director or senior official occupations (such as Elected Representatives and Senior Police Officers)
• professional occupations (such as Doctors and Teachers)
• associate professional and technical occupations (such as Police Officers and Counsellors)
• administrative or secretarial occupations (such as Office Managers and Receptionists)
• skilled trade occupations (such as Electricians and Chefs)
• caring, leisure or other service occupations (such as Teaching Assistants and Home Carers)
• sales and customer service occupations (such as Cashiers and Shopkeepers)
• process, plant and machine operatives (such as Bus Drivers and Scaffolders)
• elementary occupations (such as Postal Workers and Waiters)"

Housing Benefit Caseload by month (each May since 2009), by age group, employment status and tenure.Housing Benefit claimant statistics are derived from the Single Housing Benefit Extract (SHBE). SHBE is compiled from monthly returns of housing benefit claimants from each individual local authority. Recording and clerical errors can occur within SHBE - for this reason, no reliance should be placed on very small numbers. Based on the Local Authority that is responsible for administering the claimant's Housing Benefit. Note that caseloads for some LAs could be affected by missing or incomplete data. The count of Housing Benefit claimants relates to claimants receiving a payment of at least 50 pence per week on the second Thursday in the month.Passported benefits are benefits or schemes which some groups of people are entitled to because of their entitlement to certain benefits or tax credits. Housing Benefit is paid to people to help pay your rent (social or private rent) for people on a low income. Housing Benefit can pay for part or all of the rent. How much is paid depends on income and circumstances. It can be claimed by people whether unemployed or working. Data is available for MSOA, LSOA and Output Areas on the DWP stat-xplore site.

Number of Registered Social Landlord dwellings. Note: from 2002 the figures in this table are not comparable to those in the main dwelling stock table because the stock figures from 2002 in this table include social rent bedspaces as well as social rent self-contained units; the main dwelling stock tables are based on self-contained units only. Data based on data collected by the Housing Corporation via the annual Regulatory and Statistical Return (RSR) and presents stock for general needs social housing rental stock and for supported housing and/or housing for older people housing stock. Note that stock figures from 1997 to 2001 are based on counts of self-contained units only. From 2002 the stock figures include self-contained units and bedspaces. From 2005 there was some general needs stock was reclassified as supported stock. This may have resulted in some of the older person stock being counted as bed spaces rather than self contained units. The districts, unitary authorities and counties listed above are based on 1 April 1998 boundaries. Figures for any "new" re-organised areas have been estimated retrospectively applying the new boundaries back to 1997, making appropriate assumptions for any county re-organisation which involved cutting across districts. Numbers can increase dramatically from one year to another as a result of Large Scale Voluntary Transfers from local authority stock. Decreases are usually the result of sales or demolitions. Data on dwelling stock from DCLG website

Total expenditure on rent for renters and on mortgages for mortgage holders, FYE 2021

This metric is derived by the LGA (Local Government Association) from the CQC (Care Quality Commission's) Care Directory file. The file contains a complete list of the places in England where care is regulated by CQC. Using the National Statistics Postcode Lookup, we have counted the number of nursing homes located in an area and then created a crude rate per 1,000 resident population.

A care home is a place where personal care and accommodation are provided together. People may live in the service for short or long periods. For many people, it is their sole place of residence and so it becomes their home, although they do not legally own or rent it. Both the care that people receive and the premises are regulated.

In addition, qualified nursing care is provided to ensure that the full needs of the person using the service are met.

Examples of services that fit under this category:

Nursing home Convalescent home with nursing Respite care with nursing Mental health crisis house with nursing

Data is extracted once a quarter and provides a snapshot in time. It should be noted that due to changes to postcodes, a small proportion cannot be matched to the latest National Statistics Postcode Lookup file and are therefore excluded from these figures.

Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

This database was built by Richard Goulding, Adam Leaver and Jonathan Silver. It is a complete dataset of all build-to-rent developments in the central/core region of Greater Manchester. It draws on a number of different sources - planning documents, land registry data, property industry journals and other publicly available housing data. it contains data on the following variables: Planning Date Planning Reference Name of development Area Post-code Total Resi Units Tenure Model Tenure Change Status Owner Funder Deliverer Significant Institutional owners Manager Other companies Total Resi Units For sale For rent Total market Social rent Affordable rent Shared ownership Other intermediate Total affordable Est. affordable if 20% Other (student/hotel) Total units (all) Offsite s106 housing contributions Other s106 contributions Source Offshore Involvement Non-UK actors Country Role of non-UK actos Public Loan (value) Type of public loan Public Land Public Land Registry Reference Gross Development value Cost of Development Profit Local plan benchmark land value 2009 Est. EUV+ Benchmark Land Value Residual Land Value Est. Profit on Cost Est. Profit on GDV Plot size (acres) Est. Benchmark Land Cost per Acre Est. Residual Land Cost per Acre Starting Price for 1 bed Starting price for 2 bed Source Average Rental 1-bed Average Rental 2-bed Average Rental 3-bed Evidence of marketed abroad Source Est. Council tax *(based on 1-bed) Notes

The sight of skyscrapers on Manchester's skyline contrasts with the boarded-up shops of towns nearby. This raises questions about the ability of Manchester's city-regional model to create inclusive, accountable, sustainable growth and thus its suitability as a blueprint for urban regeneration within the Northern Powerhouse area.

This project will investigate whether the ideas which underpin the Manchester model of regional development and the Northern Powerhouse actually work. Those ideas claim that the growth of flat building in city centres creates 'agglomeration' benefits - that is, that a growing concentration of skilled people, finance and technology in the same city creates productivity improvements which spill out into surrounding areas. We will do this through an in-depth financial and spatial analysis of investment in Manchester's 'Build To Rent' (BTR) sector - a special property class common in Manchester that is built specifically for renters.

We will consider whether Manchester's 'property-led regeneration' model of attracting private investment into BTR to boost growth might in fact have the opposite effect. Competition for land may push up rents and create opportunities for financial extraction for large global companies, taking money away from local economies. It may also encourage speculation which encourages companies to take on more debt, introducing new risks in a market downturn. It may also add to the costs of infrastructure development, creating inefficiencies. And it may pull in investment, technology and skills from surrounding towns into central areas in ways that harm those towns. We refer to these problems as problems of the 'centripetal city'. This metaphor is designed to capture the vortex-like motion whereby skills and other resources are pulled to the centre of Manchester, the benefits of which are funnelled to global investors. This contrasts with the 'centrifugal' metaphor that underpins property-led, agglomerative regeneration strategies - that productivity gains in the city centre are thrown out into the regions.

In terms of methods, we bring together expertise in accounting and economic geography to investigate the financial and spatial relations and outcomes of BTR construction, from the way it is marketed, to the way it is constructed to its financial and spatial effects.

Our project will be broken down into four themes. Our first theme will examine how Manchester sells itself as a city and its BTR property assets to global investors, because the visions and commitments set out in those deals shapes the process of urban regeneration in Greater Manchester. We will also examine the role of the Greater Manchester Combined Authority (GMCA) in the marketing of those assets.

Our second theme will use detailed accounting analysis to examine how those assets are constructed, which companies are involved in their construction and the way money flows through those organisations. This will tell us about the extent of extraction in BTR. It will also tell us about the balance of on- and off-shore companies in this sector, thus providing a transparency and accountability aspect. We will also examine how financially stable BTR companies and their housing assets are, providing an economic sustainability lens for our BTR research.

Our third theme will examine the effects of Manchester's regeneration model at different spatial scales. This will draw out whether centrifugal or centripetal forces (or some combination of the two) are at work in Greater Manchester. We will use a variety of socio-economic indicators (business mortality rate, shop footfall, inward migration etc) to examine the presence or otherwise of centripetal forces.

Our fourth theme is our impact theme. This theme will draw on our findings to develop engagement strategies which aim to build civil society resistance to extractive forms of development which undermine inclusive, accountable and sustainable development.

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

This data is based on the Homes and Communities Agency (HCA) Statistical Data Return (SDR).
It provides a list of Private Registered Providers (including registered social landlords, housing associations, almshouses etc) who own and manage homes in the Cambridge housing sub-region and Peterborough.

The 2013-14 data includes a simple yes/no as to whether providers own general needs, supported housing, housing for older people and low cost homes ownership housing.

The 2014-15 and 2015-16 data includes the number of homes owned and managed under the same four headings.

The 2016-17 data is provided in three sections: housing stock, rents, and affordable rents. These are the worksheets form the SDR which provide information by local authority area. The full SDR contains much more information, but not by local authority; just by housing provider. Each provider may own and manage homes in a number of local authorities.

This data set shows the average weekly social rent (£), excluding service charge), of new Private Registered Providers (PRP) general needs lettings, 2012/13 Information about the tenancy, the tenants and the property is collected each time there is a new letting. Lets of general needs and supported social housing are collected, and, from 2012/13, both local authority and private registered providers also report their affordable rent lettings (PRPs began this reporting in 2011/12). All data are submitted through the on-line Continuous Recording system (CORE). The rents reported to CORE are for properties let within the financial year and therefore will differ to figures on the rents for all social stock. Private registered providers (PRPs) PRPs refer in this document to Private Registered Providers of social housing in England that are registered with the social housing regulator (from 1st April 2012 this is the Homes and Communities Agency’s Regulation Committee). These were previously term Registered Social Landlords or housing associations. This term excludes local authority registered providers. General needs housing General needs housing covers the bulk of housing stock for rent and includes both self-contained and shared housing. It is stock that is not designated for specific client groups requiring support, or stock that does not have the special design features that are specific to housing for older people or supported housing. Where additional support is offered to all residents as a matter of course, this stock is not general needs (see definition of supported housing). For further information please see the 'Social Housing Lettings: April 2012 to March 2013, England' statistical release available in PDF format.

This dataset contains the percentage breakdown of owner occupiers, private renters and social renters in England.