During the 2022/2023 academic year, there were approximately *** million full-time and sandwich students in the United Kingdom (UK), with almost ******* occupying provider-maintained property and roughly ******* in private-sector halls. The largest share of students, ******* occupied other rented accommodation.

This dataset provides Census 2021 estimates that classify schoolchildren and full-time students aged 5 years and over in England and Wales by student accommodation and by age. The estimates are as at Census Day, 21 March 2021.

Estimates for single year of age between ages 90 and 100+ are less reliable than other ages. Estimation and adjustment at these ages was based on the age range 90+ rather than five-year age bands. 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

Student accommodation type

Combines the living situation of students and school children in full-time education, whether they are living:

• alone
• in a student household
• with parents
• in a communal establishment, split by university and other communal establishment type
• in other household types

It also includes whether these households contain one or multiple families.

This variable is comparable with the student accommodation variable but splits the communal establishment type into “university” and “other” categories.

Age

A person’s age on Census Day, 21 March 2021 in England and Wales. Infants aged under 1 year are classified as 0 years of age.

During the academic year 2022/2023, purpose-built student accommodation (PBSA) rents in the United Kingdom (UK) were forecast to grow by up to ** percent. Durham was the leading city in the ranking, with a rental growth forecast of **** percent, followed by Cardiff and Edinburgh at approximately *** percent. Not all cities were expected to see rents increase though. In Leicester and Coventry, student accommodation rents were to fall by *** and *** percent, respectively.

Market Size statistics on the Student Accommodation industry in the UK

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 United Kingdom is without a doubt one of the leading destinations for higher education, placing the student housing on high priority within the residential real estate sector. Purpose-built student accommodation (PBSA) in the United Kingdom (UK) is mainly university owned and directly let with the two ownership types, making up for ** percent of the stock supply as of the academic year 2020/2021.

According to a survey conducted among nearly ** thousand students in the United Kingdom in 2019, the most important factors for choosing student housing were good or excellent value for money, overall cost and cleanliness of a bedroom. Nevertheless, the location of the property, which ranked fourth with ** percent of respondents stating it as a slightly, very or extremely important factor, contributed the most to the level of satisfaction with the accommodation.

Census 2021 data on international student population of England and Wales by country of birth, passport held, age, sex and other characteristics.

These datasets are part of the release: The changing picture of long-term international migration, England and Wales: Census 2021. Figures may differ slightly in future releases because of the impact of removing rounding and applying further statistical processes.

Figures are based on geography boundaries as of 1 April 2022.

This release includes comparisons to the folllowing 2011 Census data:

• Students in full-time education
• International students (by Region)
• International students by country of birth
• International students by Top 100 countries of birth

Quality notes can be found here

Quality information about demography and migration can be found here

Quality information about labour market can be found here

Usual resident

A usual resident is anyone who on Census Day, 21 March 2021 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.

International student

An international student is defined as someone who was a usual resident in England and Wales and meets all the following criteria:

• in-full-time education
• non-UK-born
• non-UK passport holder
• aged 17 years or over upon most recent arrival in the UK
• aged 18 years or over on Census Day.

Country of birth

The country in which a person was born. The following country of birth classifications are used in this dataset:

• Country of birth 12a: Political groupings of countries by EU membership and geographical location for non-EU countries.
• Country of birth 190a: Individual countries. This classification includes geographical groupings for low volume countries.
• Country of birth (3 categories): These categories have been derived from country of birth 12a and include all UK countries in "Europe: United Kingdom", all EU countries in "Europe: EU countries" and all remaining countries including British Overseas territories in "Non-EU countries (including British Overseas)".

More information about country of birth classifications can be found here.

Passports held

The country or countries that a person holds, or is entitled to hold, a passport for. Where a person recorded having more than one passport, they were counted only once, categorised in the following priority order: 1. UK passport, 2. Irish passport, 3. Other passport. The following classifications were created for this dataset for comparability with other international migration releases:

• Passports held (4 categories): High level political groupings of passport held by EU membership and geographical location for non-EU countries.
• Passports held (12 categories): Political groupings of passport held by EU membership and geographical location for non-EU countries.
• Passports held (150 categories): Individual countries for passport held. This classification includes geographical groupings for low volume countries.

More information can be found here

Economic activity status

The economic activity status of a person on Census Day, 21 March 2021. The following classification is used in this dataset:

• Economic activity status classification status_12a

Industry

The industry worked in for those in current employment. The following classification was used for this dataset:

• Industry (current) classification 22a

Student accommodation

Student accommodation breaks down household type by typical households used by students. This includes communal establishments, all student households, households containing a single family, households containing multiple families, living with parents and living alone.

More information can be found here

Second address indicator

The second address indicator is used to define an address (in or out of the UK) a person stays at for more than 30 days per year that is not their place of usual residence. Second addresses typically include: armed forces bases, addresses used by people working away from home, a student’s home address, the address of another parent or guardian, a partner’s address, a holiday home. There are 3 categories in this classification.

Detailed description can be found here

Main language (detailed)

This is used to define a person's first or preferred language. This breaks down the responses given in the write-in option "Other, write in (including British Sign Language)". There are 95 categories in the primary classification.

More details can be found here

Proficiency in English language

Proficiency in English language is used to determine how well a person whose main language is not English (English or Welsh in Wales) feels they can speak English. There are a total number of 6 categories in this classification.

More details can be found here

This statistic illustrates the average cost of weekly rents in student housing in London, United Kingdom (UK) in 2018/2019, by room type. It can be seen that studio properties yielded the highest rent at an average of *** British pounds per week, whilst non en-suite properties cost on average *** British pounds per week.

The GLA Demography Team offers a bespoke population projection service to London local authorities. Boroughs can request population projections based on their own choice of assumptions about future housing delivery. These assumptions are submitted to the team via a standard template. The resulting projections are referred to as the Borough Preferred Option (or BPO) and are commonly used to help support local planning and service delivery.

The GLA does not make the BPO projections and submitted housing trajectories publicly available or share them with anyone other than the commissioning borough. Boroughs wishing to publish BPO projections themselves are free to do so.

This service is offered as an optional, free of charge service to London authorities, and is intended to provide users with an alternative to the standard projections that the GLA publishes on the London Datastore.

Access to outputs

The BPO projections are shared with users via private pages on the London Datastore. These pages include all outputs produced under the service since 2019.

To access outputs, users must have a current Datastore account linked to their local government email address and contact the Demography Team to request permissions be granted for the individual pages relating to their local authority.

Notes on completing the development data template

What periods do the year labels in the template refer to?

The year labels in the template nominally refer to periods ending in the middle of that year (i.e. `2025` refers to the 12 month period ending June 30th 2025). However, development data is often readily available only for financial years and it is common to submit data on this basis, with financial year 2024/25 aligning with `2025` in the template.

Development trajectory

The cells in the template represent annual net changes in the number of dwellings.

The current template covers the period 2012-2041 and are pre-populated with estimated annual net dwelling changes for the period 2012-2019, based on modelling of data from the London Development Database.

For the 2022-based and subsequent projections, dwelling stock estimates are anchored to the results of the 2021 Census and it is not essential to include data for dwelling stock changes that occured prior to this point (i.e. up to and including '2021').

Past development data from 2022 up to the base year of the projections, affects the projected population in all future years as dwelling stock in the base year is used in the estimation of relationships between housing and population in the model.

We are not yet able to pre-populate templates with estimated dwelling changes for years after 2019. In future rounds of projections we intend to incorporate data from the Planning Data Hub.

Blank cells are treated as missing rather than no change, and data based on the 2017 Strategic Housing Land Availability Assessment (SHLAA) will be substituted in its place. To indicate no net change in dwellings in a ward in a particular year, users must explicitly enter a zero in the relevant cell.

Self-contained and Non-self-contained development

Self-contained development should be used for standard residential development (e.g. new build/conversion).

Non-self-contained development should be used for development such as student accommodation. This should be added to the template as the equivalent of self-contained units (i.e. a ratio of non-self-contained to self-contained should be applied). The London Plan ratios are:

· 2.5:1 for student housing

· 1:1 for housing for older people (C2)

· 1.8:1 for all other non-self-contained housing

Requesting projections based on multiple different housing scenarios

While we are willing to try and accommodate requests for multiple sets of projections, capacity in the team is limited and there is no guarantee that we will be able to do so in a timely manner.

Please do not

• Add rows or columns to the template
• Change ward names or codes
• Include formulas or new formatting
• Add notes or comments to the template
• Return data in a different version of the template to those included here

Please return completed templates to:

<a href="mailto:demography@london.gov.uk"

This dataset provides Census 2022 estimates for Communal establishment management and type in the unit of residents in communal establishments in Scotland.

Communal establishment type

Communal establishments according to management and type. A communal establishment is an establishment providing managed residential accommodation.

Types of communal establishment include:

• Care homes (with or without nursing)
• Student halls of residence
• Defence establishments
• Prison service establishments

Details of classification can be found here

The quality assurance report can be found here

The Student Housing Company (TSHC) is undertaking the redevelopment of a student apartment complex in Devon, the UK.The project involves the construction of a 78m high, 23-story student housing building comprising 505 beds. It includes the construction of retail facilities, a gym, parking space and other related facilities. It includes the construction of studios, 15,322m2 of accommodation space, commercial space, management suite, reception area, common rooms and laundrette.Boyes Rees Architects has been appointed as an architect.In November 2014, TSHC received planning approvals.In November 2015, Kier Construction was awarded a contract worth US$44 million to design and build the project.In December 2015, Hydrock was appointed as M&E engineer and LSC Group as Facade Contractor for the project.As of October 2016, half of the construction works of the project were completed.In March 2017, TSHC held a topping out ceremony. As of August 2018, construction works nearing completion. Read More

According to a survey conducted among nearly ** thousand students in the United Kingdom in 2019, the most important factors influencing how happy they are in their student housing are the location, the option to live in the property for more than one year, and the number of bedrooms. A little over one ***** of respondents (** percent) chose cost. On the other hand, in terms of factors influencing the choice of property, good value for money proved to be the most important.

Abstract copyright UK Data Service and data collection copyright owner.The English Housing Survey (EHS) is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. The EHS brings together two previous survey series into a single fieldwork operation: the English House Condition Survey (EHCS) (available from the UK Data Archive under GN 33158) and the Survey of English Housing (SEH) (available under GN 33277). The EHS covers all housing tenures. The information obtained through the survey provides an accurate picture of people living in the dwelling, and their views on housing and their neighbourhoods. The survey is also used to inform the development and monitoring of the Ministry's housing policies. Results from the survey are also used by a wide range of other users including other government departments, local authorities, housing associations, landlords, academics, construction industry professionals, consultants, and the general public. The EHS has a complex multi-stage methodology consisting of two main elements; an initial interview survey of around 12,000 households and a follow-up physical inspection. Some further elements are also periodically included in or derived from the EHS: for 2008 and 2009, a desk-based market valuation was conducted of a sub-sample of 8,000 dwellings (including vacant ones), but this was not carried out from 2010 onwards. A periodic follow-up survey of private landlords and agents (the Private Landlords Survey (PLS)) is conducted using information from the EHS interview survey. Fuel Poverty datasets are also available from 2003, created by the Department for Energy and Climate Change (DECC). The EHS interview survey sample formed part of the Integrated Household Survey (IHS) (available from the Archive under GN 33420) from April 2008 to April 2011. During this period the core questions from the IHS formed part of the EHS questionnaire. End User Licence and Special Licence Versions: From 2014 data onwards, the End User Licence (EUL) versions of the EHS will only include derived variables. In addition the number of variables on the new EUL datasets has been reduced and disclosure control increased on certain remaining variables. New Special Licence versions of the EHS will be deposited later in the year, which will be of a similar nature to previous EHS EUL datasets and will include derived and raw datasets. Further information about the EHS and the latest news, reports and tables can be found on the GOV.UK English Housing Survey web pages. The English Housing Survey, 2013: Housing Stock Data is available for all cases where a physical survey has been completed. For occupied cases the data comprises information from the household interview and from the physical survey. For vacant properties only, data from the physical survey are provided. The data are made available for a two-year rolling sample i.e. approximately 12,000 cases together with the appropriate two-year weights. For example, the EHS Housing Stock results presented here are for 2013, but cover the period April 2012 to March 2014. The Housing Stock dataset should be used for any analysis requiring information relating to the physical characteristics and energy efficiency of the housing stock. Derived datasets provide key analytical variables compiled post-fieldwork including energy efficiency ratings, decent home indicators and equivalised income. Latest edition information For the second edition (March 2017), a new cavity wall insulation variable wins95x was added to the physical file. This variable was introduced for the latest EHS Headline Report. From the submission of the 2015 EHS, wins95x will replace wins90x; it has been added to EHS physical files from 2007/8 onwards. Main Topics: The EHS Housing Stock survey consists of two components. Interview Survey An interview is first conducted with the householder. The interview topics include: general tenure and demographics; household income and housing costs; housing needs; housing aspirations and satisfaction; housing moves; and vulnerable and disadvantaged households. Physical Survey Where interviews are achieved (the 'full household sample'), each year all rented properties and a sub-sample of owner occupied properties are regarded as eligible for the physical survey and the respondent's consent is sought. A proportion of vacant properties are also sub-sampled. For these cases a visual inspection of the property, both internal and external is carried out by a qualified surveyor. Data collected cover: stock profile; amenities; services and the local environment; dwelling condition and safety; energy performance; and energy-inefficient dwellings. Multi-stage stratified random sample Face-to-face interview Physical measurements House inspection; Surveyor property inspection. 2013 2014 AGE AIDS FOR THE DISABLED ANXIETY APARTMENTS ATTITUDES BATHROOMS BEDROOMS BIOFUELS BOILERS BUILDING MAINTENANCE CAR PARKING AREAS CARS CEILINGS CENTRAL HEATING CHIMNEYS COHABITATION COMMUNAL ESTABLISHM... COOKING FACILITIES COSTS COUNCIL TAX DISABILITIES DISABLED ACCESSIBILITY DISABLED FACILITIES DISABLED PERSONS DOMESTIC SAFETY DOORS ECONOMIC ACTIVITY ECONOMIC VALUE EDUCATIONAL BACKGROUND ELDERLY ELECTRIC POWER SUPPLY EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ENERGY CONSUMPTION ENERGY EFFICIENCY ENVIRONMENT ETHNIC GROUPS England FAMILIES FINANCIAL RESOURCES FIRE FLOORS FOSSIL FUELS FREEHOLD FURNISHED ACCOMMODA... GARAGES GAS SUPPLY GENDER HAPPINESS HEADS OF HOUSEHOLD HEATING SYSTEMS HIGH RISE FLATS HOME BUILDINGS INSU... HOME BUYING HOME CONTENTS INSUR... HOME OWNERSHIP HOME SHARING HOMELESSNESS HOURS OF WORK HOUSE PRICES HOUSEHOLD INCOME HOUSEHOLDERS HOUSEHOLDS HOUSES HOUSING HOUSING AGE HOUSING BENEFITS HOUSING CONDITIONS HOUSING FACILITIES HOUSING IMPROVEMENT HOUSING SHORTAGES HOUSING TENURE HUMAN SETTLEMENT Housing ILL HEALTH INCOME INTEREST RATES KITCHENS LANDLORDS LAVATORIES LEASEHOLD LIFE SATISFACTION LOANS LOCAL TAX BENEFITS LODGERS MARITAL STATUS METHODS OF PAYMENT MORTGAGE ARREARS MORTGAGE PROTECTION... MORTGAGES OWNERSHIP AND TENURE PHYSICAL MOBILITY PLACE OF BIRTH POVERTY PRIVATE GARDENS PROPERTY RADIATORS RATES RENTED ACCOMMODATION RENTS RESIDENTIAL BUILDINGS RESIDENTIAL MOBILITY RESPONSIBILITY ROOFS ROOMS RURAL AREAS SATISFACTION SAVINGS SECOND HOMES SELF EMPLOYED SEWAGE DISPOSAL AND... SHELTERED HOUSING SINGLE OCCUPANCY HO... SOCIAL HOUSING SOCIAL SECURITY BEN... SOCIO ECONOMIC STATUS SOLAR ENERGY SPOUSES STANDARD OF LIVING STATUS IN EMPLOYMENT STRUCTURAL ELEMENTS... STUDENT HOUSING SUPERVISORY STATUS TEMPORARY EMPLOYMENT TENANCY AGREEMENTS THERMAL INSULATION TIED HOUSING TRAFFIC NOISE UNEMPLOYED UNFURNISHED ACCOMMO... UNWAGED WORKERS URBAN AREAS VACANT HOUSING WALLS WASHING FACILITIES WHEELCHAIRS WINDOWS

The HESA Student record is collected from subscribing Higher Education Providers (HEPs) throughout the devolved administrations of the United Kingdom. The data collected as part of the Student record is used extensively by various stakeholders and is fundamental in the formulation of: Funding, Performance Indicators, Publications (including UNISTATS), League tables.

The Student record collects individualised data about students active during the reporting period. A wide range of data items are collected, including: the student's entry profile and personal characteristics, module and course level data, funding information and qualifications awarded.

All HESA records are collected on the basis of the HESA reporting period that determines the time period that the data being returned relates to. This ensures consistency across the data streams collected. The reporting period is from 01 August year 1 to 31 July year 2, for example, the 2016/2017 Student record was collected in respect of the activity which took place between 01 August 2016 and 31 July 2017.

Further information on the HESA Student record can be found on the HESA website: https://www.hesa.ac.uk/collection/archive

American Campus Communities (ACC) is undertaking the construction of a student housing complex in Lubbock, Texas, the US.The project involves the construction of a 48,123m2, 296-unit student housing complex comprising 1,204-beds on an 8.5ha site. It includes the construction of 12 three-story apartment buildings, four three-story carriage house buildings, a one-story clubhouse, two exterior pools, nine carports, parking and related facilities.Humphreys & Partners Architects LP has been appointed as architect.In February 2016, ACC awarded a construction contract to the Favergray Co.Construction works are underway and are expected to be complete by August 2017. Read More

This dataset provides Census 2022 estimates for Communal establishment management and type in the unit of People in communal establishment in Scotland.

Communal establishment type

Communal establishments according to management and type. A communal establishment is an establishment providing managed residential accommodation.

Types of communal establishment include:

• Care homes (with or without nursing)
• Student halls of residence
• Defence establishments
• Prison service establishments

Details of classification can be found here

The quality assurance report can be found here

In 2019, the average size of both en-suite and studio purpose-built student accommodation (PBSA) in London was much smaller than in the rest of the United Kingdom (UK). For example, an average student studio in London was **** square meters, while in the rest of UK, it was **** square meters.

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

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.

Data about household relationships might not always look consistent with legal partnership status. This is because of complexity of living arrangements and the way people interpreted these questions. Take care when using these two variables together. 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, you can choose to filter areas 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

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.

Household composition

Households according to the relationships between members.

One-family households are classified by:

• the number of dependent children
• 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
• whether the household consists only of students or only of people aged 66 and over

The University of Ilorin (Unilorin) is constructing a student housing complex in Ilorin, Kwara, Nigeria.The project involves the construction of a student housing complex comprising 2,500 rooms with 5,000 beds. It includes the construction of a fitness center, administrative space, parking and related facilities.In December 2015, Unilorin entered into an agreement with Origin Group for the project development. Read More