There were approximately 123,950 students enrolled at universities located in Greater Manchester during the 2022/23 academic year in the United Kingdom. Most of these students were studying at either the University of Manchester, which had 46,860 students enrolled, or the Manchester Metropolitan University, which had 39,095 students enrolled. Since 2016/17, there has been a net increase of around 23,000 students in Greater Manchester.

In 2022/23, the Open University, which focuses on remote learning, had approximately 140,215 students enrolled on courses, the highest in the UK during that academic year. After the Open University, University College London had the highest number of students in the UK, at 51,810, while the University of Manchester had the second-highest, at 46,860. The UK's oldest university, The University of Oxford, had approximately 27,340 students studying there.

There were approximately 498,127 students attending schools in Greater Manchester in 2022/23, compared with 493,050 in the previous year and 455,763 in 2015/16.

In 2022/23 there were estimated to be over 2.94 million students enrolled in higher education courses in the United Kingdom, which was the highest number of enrolled students during this provided time period. Although the number of students in the UK fell from 2.5 million in 2011/12 to 2.27 by 2014/15, this trend reversed in subsequent years, reaching the peak in the most recent year. Largest UK universities At 151,840 students, the mainly remote, Open University had the largest number of students enrolled among UK-based higher education institutions in 2021/22. University College London had the second-highest number of students at 46,830, followed by the University of Manchester at 46,140. At the UK's two oldest and most prestigious universities, Oxford and Cambridge, there were 27,290, and 22,610 students respectively. The university with the most students in Scotland was the University of Glasgow at 42,980 students, with Wales' being Cardiff University at 33,985 students, and Northern Ireland's Ulster University having 34,550 students. Student Debt in the UK For students that graduated from English universities in 2023, the average student loan debt incurred over the course of their studies was over 44,900 pounds. Although the students graduated with less debt from universities in Wales, Northern Ireland, and especially Scotland, this too has been growing in recent years. The overall outstanding student loan debt in the UK reached over 225.95 billion pounds in 2022/23, with the vast majority from students who studied in England.

In 2019-2020 the ESRC funded 'Reanimating data: experiments with people, places and archives'. Part of the project involved staging a series of reanimations using data from interviews with young women from Manchester, conducted thirty years previously as part of the Women, Risk and AIDS Project (WRAP 1988-1990). Each reanimation involved a collaboration between young women, educators and researchers and used creative methods to explore the WRAP data and bring it to life in new ways.

As part of the project the team supported two members of staff at Manchester Metropolitan University (Charlotte Bagnall and Claire Fox) to use two WRAP interviews (NMC12 and MAG12) to teach thematic analysis methods to their students. Charlotte and Claire analysed the data ahead of the session and identified two key themes: gendered double standard and basic or limited sex education. These themes were further explored by students.

The zip file contains: * A blog by Charlotte Bagnall explaining how they worked with the data an delivered the session. * Written discussion of the gendered double standard theme by Charlotte Bagnall and Dr. Claire Fox. * Written discussion of the basic / limited sex education theme by first year student Angel Mellor-Davis. * Coding table for the gendered double standard theme.

The project aimed to a) determine the psycholinguistic profiles of children attending language units in England, b) investigate their social-emotional well-being and c) gather teacher opinion regarding the nature of the children’s difficulties and their educational placement. The Manchester Language Study (MLS) began in 1995 and spans approximately 20 years from childhood to early adulthood. This collection includes data related to the first cohort recruited for this longitudinal study when the children participating were approximately 7 years of age. Language units at that time were specialized classes for children who had been identified with developmental language disorders (DLD), i.e., language difficulties are the main concern for these children. Language unit placements were offered to children who, even with support, would find it difficult to cope in mainstream education. These children are deemed to need a structured small group setting with intensive language input that usually involves both teachers and speech and language therapists. The data for this cohort in early adulthood is published and available in ReShare (publication reference 852066, link provided under Related resources).

This data collection uses Census returns to construct a consistent time series of population for urban centres in England and Wales 1801-1911. This allows the urban development and structure of England and Wales to be analysed, and provides a resource to other researchers seeking to make ready comparisons of other information with urban development across the nineteenth century. It has been derived from the work of three previous researchers: (1) Chris Law (1967) originally prepared it; (2) Brian Robson (1973) developed the data further and transcribed Law’s data and preserved it, and also added information on some smaller settlements for years before they became ‘urban’ under Law’s criteria; (3) Jack Langton (2000) undertook a different study for the 17th century to 1841 using the same basic methods and definitions as Law-Robson for 1801 and 1841 and corrected various errors and omissions in the Law-Robson material; he also disaggregated the Law-Robson data for the period to 1841 to reflect the fact that many places had not coalesced into large towns by this date. The database here combines these three sources. It was prepared by Bob Bennett (2011) for a study of local economies and chamber of commerce business representation.

Abstract copyright UK Data Service and data collection copyright owner.

Although census output from both 1991 and 2001 provides a detailed account of the population by age, sex and ethnic group, accurate analyses of population change for sub-national areas are subjected to four separate problems that make comparisons of populations over time difficult: changes in the population definition, changes in the treatment of non-response, changes in ethnic group classification and age standard outputs, and changes in geographical boundaries for standard census output. A standard methodology has been implemented to overcome these four challenges, and to derive a consistent population time series 1991-2001, with age detail (single year of age or quinary ages), sex and ethnic group. These population estimates are made available using the 2001 Census geography for each district, ward and Output Area in England and Wales. The methods have focused on ensuring consistency with the latest population estimates from ONS for 1991 and 2001.

Further information can be found on the Cathie Marsh Centre for Census and Survey Research web page and the ESRC Award web page.


Main Topics:

Mid-1991 and mid-2001 population estimates by single year of age, sex and ethnic group for sub-national areas (Districts, Wards and Output Areas) in England and Wales.

Objectives: This research aimed to explore the health behaviours of health sciences students over time and across different settings.Methods: A health behaviour surveillance system has been implemented in Hamburg and Manchester among under- and postgraduate health sciences students. Trends among the Hamburg sample were described. In a cross-sectional assessment, health behaviours across both universities were examined using multivariate regression analysis.Results: Between 2014 and 2018, increasing trends in physical activity and cannabis and alcohol consumption were observed in Hamburg (n = 1,366). While fruit and vegetable intake was constantly low, tobacco smoking decreased. No clear trend was observed for stress perception. The comparison (n = 474) revealed that Manchester students had higher odds of smoking, excessive alcohol consumption, and fruit and vegetable consumption; and lower odds of being physically active, and consuming cannabis. No difference in stress perception was observed.Conclusions: Varying trends and potential areas of intervention were identified for health behaviours in Hamburg. The comparison with Manchester students revealed differences in behaviours, which could be further explored to help inform health promotion strategies in both settings.

This dataset is a record of annual water fluoride concentrations in Lower Super Output Areas (LSOAs) in England from 2009 to 2020. We obtained information on the fluoride concentrations for each water supply zone through requests made under the Environmental Information Regulations 2004, to water companies in England. The Water Supply (Water Quality) Regulations SI 2016/614 require that water companies take a minimum of 1-8 annual samples per water supply zone, per year (dependent on population size) of water fluoride concentrations, as part of routine water quality monitoring. This dataset was created by merging the supplied information on annual fluoride concentrations in each water supply zone, with the 2011 LSOA population-weighted centroids (Office for National Statistics).

Further details on the methods used to create this dataset will be found in the Research paper accompanying this dataset

UK Data Service (UKDS) provides unified access to the UK's largest collection of social, economic and population data for research and teaching purposes covering a range of different disciplines. The majority of our data are fully anonymised, unless otherwise specified in the relevant online catalogue records, and are therefore not suitable for genealogical users or family historians. The UK Data Service is funded by the Economic and Social Research Council (ESRC) to meet the data needs of researchers, students and teachers from all sectors, including academia, central and local government, charities and foundations, independent research centres, think tanks, and business consultants and the commercial sector.

ESSTED aims to help students develop and practice their quantitative skills and learn to evaluate and use quantitative evidence. The project involves an interdisciplinary team working to integrate more quantitative data and methods within the social science undergraduate curriculum at the University. The project focuses on embedding relevant quantitative data and methods within substantively focused course units in Politics and Sociology. We deposit only the student survey data from among all our mixed methods data; this is because of anonymity and confidentiality issues relating to the other data. The student survey was conducted on University of Manchester campus 2012-2013 with followup in classrooms in 2014/5.

This project widens the embedding of quantitative data and methods in undergraduate social science.The main strategy is to support lecturers in changing their curriculum and pedagogy to encourage students’ active learning, building up skills through explicit scaffolding of learning.

The project sponsors workshops for teachers/lecturers across the UK, disseminates new teaching/learning methods online and by publication; and evaluates the impact of these changes and how to sustain the changes in teaching methods over time. Two Departments (Sociology and Politics) work closely with the co-investigators.The degrees of BA Econ, BSc Econ, and BA in Social Sciences degree (BASS) are affected.The money supports a research assistant, videos, and other costs.

The proposed step-change in QM embedding involves:

Getting students to generate and interpret their own quantitative survey data on substantive topics. New data about the students themselves follows the question wording found in national surveys. Students also use national and international data.

The project also trains faculty to deal with QM teaching.

It publicises useful Online Education Resources (OERs).

The project is delivered partly by staff in the UK Data Service and in MIMAS, the national data delivery and support service.

The UK censuses took place on 29th April 2001. They were run by the Northern Ireland Statistics & Research Agency (NISRA), General Register Office for Scotland (GROS), and the Office for National Statistics (ONS) for both England and Wales. The UK comprises the countries of England, Wales, Scotland and Northern Ireland.

Statistics from the UK censuses help paint a picture of the nation and how we live. They provide a detailed snapshot of the population and its characteristics, and underpin funding allocation to provide public services.

The Census 2001: Small Area Microdata SAM is a 5% sample of individuals for all countries of the UK, with 2.96 million cases. Local Authority is the lowest level of geography for England and Wales, Council Areas for Scotland and Parliamentary Constituencies for Northern Ireland. The Scilly Isles have been merged with Penwith and the City of London with Westminster. Orkney and Shetland are merged into one area. All other areas are identified. The median sample size for an authority is 5,600 records and nearly eighty authorities have more than 10,000 records. The amount of individual detail in the SAM is less than in the 2001 Individual Licenced Sample of Anonymised Records (I-SAR)(see under SNs 7205 and 7206) because of the greater geographical detail in the SAM.

Caveat - Students:
As with the Individual SAR, the SAM includes those enumerated in a communal establishment and also full-time students who were enumerated at an address that was not their usual term-time residence. For the latter there is only individual-level information on age, sex, marital status and full-time student status. It is recommended that these students are not included in any analyses as they do not form part of the usual residents population base.

This dataset contains 88 variables; a version designed for imputation analysis, which contains an extra 67 imputation flag variables, is available under SN 7208.

Effective reintroduction strategies require accurate estimates of vital rates and the factors that influence them. We estimated vital rates of hirola (Beatragus hunteri) populations exposed to varying levels of predation and rangeland quality from 2012 to 2015, and then built population matrices to estimate the finite rate of population change (λ) and demographic sensitivities. Mean survival for all age classes and population growth was highest in the low predation/high-rangeland quality setting (λ = 1.08 ± 0.03 SE), and lowest in the high predation/low-rangeland quality setting (λ = 0.70 ± 0.22 SE). Retrospective demographic analyses revealed that increased fecundity (the number of female calves born to adult females annually) and calf survival were responsible for higher population growth where large carnivores were absent. In contrast, variation in adult survival was the primary contributor to differences in population growth attributable to rangeland quality. Our analyses suggest that hirola demography is driven by a combination of top-down (predation) and bottom-up (rangeland quality) forces, with populations in the contemporary geographic range impacted strongly by declining rangeland quality. To enhance the chances of successful reintroductions, conservationists can consider rangeland restoration to boost both the survival and fecundity of adult females within the hirola’s historical range.

NOTE: As of 2/16/2023, this table is not being updated. For data on COVID-19 updated (bivalent) booster coverage by town please to go to https://data.ct.gov/Health-and-Human-Services/COVID-19-Updated-Bivalent-Booster-Coverage-By-Town/bqd5-4jgh.

This table shows the number and percent of residents of each CT town that have initiated COVID-19 vaccination, are fully vaccinated and who have received additional dose 1 by age group.

All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected.

In the data shown here, a person who has received at least one dose of COVID-19 vaccine is considered to have initiated vaccination. A person is considered fully vaccinated if he/she has completed a primary vaccination series by receiving 2 doses of the Pfizer, Novavax or Moderna vaccines or 1 dose of the Johnson & Johnson vaccine. The fully vaccinated are a subset of the people who have received at least one dose.

A person who completed a Pfizer, Moderna, Novavax or Johnson & Johnson primary series (as defined above) and then had an additional monovalent dose of COVID-19 vaccine is considered to have had additional dose 1. The additional dose may be Pfizer, Moderna, Novavax or Johnson & Johnson and may be a different type from the primary series. For people who had a primary Pfizer or Moderna series, additional dose 1 was counted starting August 18th, 2021. For people with a Johnson & Johnson primary series additional dose 1 was counted starting October 22nd, 2021. For most people, additional dose 1 is a booster. However, additional dose 1 may represent a supplement to the primary series for a people who is moderately or severely immunosuppressed. Bivalent booster administrations are not included in the additional dose 1 calculations.

The percent with at least one dose many be over-estimated, and the percent fully vaccinated and with additional dose 1 may be under-estimated because of vaccine administration records for individuals that cannot be linked because of differences in how names or date of birth are reported.

Town of residence is verified by geocoding the reported address and then mapping it a town using municipal boundaries. If an address cannot be geocoded, the reported town is used. Out-of-state residents vaccinated by CT providers are excluded from the table.

The population denominators for these town- and age-specific coverage estimates are based on 2014 census estimates. This is the most recent year for which reliable town- and age-specific estimates are available. (https://portal.ct.gov/DPH/Health-Information-Systems--Reporting/Population/Town-Population-with-Demographics). This census data is grouped in 5-year age bands. For vaccine coverage age groupings not consistent with a standard 5-year age band, each age was assumed to be 20% of the total within a 5-year age band. However, given the large deviation from this assumption for Mansfield because of the presence of the University of Connecticut, the age distribution observed in the 2010 census for the age bands 15 to 19 and 20 to 24 was used to estimate the population denominators.

Town-level coverage estimates have been capped at 100%. Observed coverage may be greater than 100% for multiple reasons, including census denominator data not including all individuals that currently reside in the town (e.g., part time residents, change in population size since the census), errors in address data or other reporting errors.

Caution should be used when interpreting coverage estimates for towns with large college/university populations since coverage may be underestimated. In the census, college/university students who live on or just off campus would be counted in the college/university town. However, if a student was vaccinated while studying remotely in his/her hometown, the student may be counted as a vaccine recipient in that town.

Connecticut COVID-19 Vaccine Program providers are required to report information on all COVID-19 vaccine doses administered to CT WiZ, the Connecticut Immunization Information System. Data on doses administered to CT residents out-of-state are being added to CT WiZ jurisdiction-by-jurisdiction. Doses administered by some Federal entities (including Department of Defense, Department of Correction, Department of Veteran’s Affairs, Indian Health Service) are not yet reported to CT WiZ.  Data reported here reflect the vaccination records currently reported to CT WiZ.

SVI refers to the CDC's Social Vulnerability Index - a measure that combines 15 demographic variables to identify communities most vulnerable to negative health impacts from disasters and public health crises. Measures of social vulnerability include socioeconomic status, household composition, disability, race, ethnicity, language, and transportation limitations - among others. Towns with a "yes" in the "Has SVI tract >0.75" field are those that have at least one census tract that is in the top quartile of vulnerability (e.g., a high-need area). 34 towns in Connecticut have at least one census tract in the top quartile for vulnerability.

Note: This dataset takes the place of the original "COVID-19 Vaccinations by Town" dataset (https://data.ct.gov/Health-and-Human-Services/COVID-19-Vaccinations-by-Town/pdqi-ds7f), which will not be updated after 4/15/2021. A dataset of vaccinations by town for all age groups is available here: https://data.ct.gov/Health-and-Human-Services/COVID-19-Vaccinations-by-Town/x7by-h8k4.

As part of continuous data quality improvement efforts, duplicate records were removed from the COVID-19 vaccination data during the weeks of 4/19/2021 and 4/26/2021.

Abstract copyright UK Data Service and data collection copyright owner.

The UK censuses took place on 29th April 2001. They were run by the Northern Ireland Statistics & Research Agency (NISRA), General Register Office for Scotland (GROS), and the Office for National Statistics (ONS) for both England and Wales. The UK comprises the countries of England, Wales, Scotland and Northern Ireland.

Statistics from the UK censuses help paint a picture of the nation and how we live. They provide a detailed snapshot of the population and its characteristics, and underpin funding allocation to provide public services.

The 2001 Individual Licenced Sample of Anonymised Records for Imputation Analysis (I-SAR) is a 3% sample of individuals for all countries of the United Kingdom, with approximately 1.84 million records. The data are available for England, Wales, Scotland and Northern Ireland. Information is included for each individual on the main demographic, health, socio-economic and household variables. The 3% sample is an increase by comparison with 2% in 1991. Some variables have been broad-banded to reduce disclosure risk. The lowest level of geography is the Government Office Region (GOR), although Inner and Outer London are separately identified. This represents a significant reduction by comparison with the 1991 where large Local Authorities (population 120,000 and over) were separately identified.

This dataset contains 173 variables, including 84 imputation flag variables. The standard version, containing 89 I-SAR variables, is available under SN 7205.


Main Topics:
Accommodation type (brief)Accommodation type (detailed)
Adults, Number Employed in Household
Adults, Number in Household
Age
Age of Family Reference Person (FRP)
Age of Household Reference Person (HRP)
Age of Students and Schoolchildren
Amenities
Armed Forces
Bath/Shower and Toilet, use of
Care (unpaid), Provision of
Care, Provision of
Carers and their Economic Activity, Number of
Cars and vans
Central heating
Children
Children, dependent
Communal Establishment Residents
Communal establishment, combined type and management
Concealed families
Country of birth
Country of Birth (additional categories)
Daytime Population
Dwelling Type
Economic Activity
Economic Activity of Associated People Resident in Households
Economic Activity of Full-time students
Economic Activity of Household Reference Person (HRP)
Ethnic group (England and Wales)
Ethnic group (England and Wales) of Household Reference Person
Family composition
Family status
Family type
Health, General
Hours worked
Household composition
Household composition (alternative classification)
Household dependent children
Household deprivation
Household Reference Person indicator
Household size
Household Space Type
Household Type
Households with students away during term-time
Industry
Industry, former
Limiting long-term illness
Limiting Long-Term Illness (LLTI), Household residents with
Limiting long-Term Illness, number of people with in household
Living arrangements
Living arrangements of Household Reference Person (HRP)
Lowest floor level
Marital status
Migration (armed forces)
Migration (Communal establishment)
Migration (People)
Multiple ethnic identifier
Occupancy Rating
Occupation (brief)
Occupation (detailed)
Occupation, former
Pensioner household
People aged 17 or over in household, Number of
Population Type
Public transport users in households
Qualifications (England and Wales)
Qualifications, highest level of (England and Wales)
Qualifications, professional
Religion (England and Wales)
Religion (England and Wales) of Household Reference Person
Resident Basis
Resident Type
Rooms in a dwelling, number of
Rooms, Number of
Rooms, Persons per
Sex
Sex of Household Reference Person (HRP)
Single Adult Households
Social Grade of Household Reference Person (HRP), approximated
Social Grade, approximated
Socio-economic Classification (NS-SeC)
Socio-economic Classification (NS-SeC) of Household Reference Person (HRP)Socio-economic Classification (NS-SeC) of Household Reference Person (HRP), Main categories of
Student accommodation (Standard Output)
Student accommodation Type
Student status
Tenure
Tenure, dwelling
Time Since Last Worked
Travel to Work, distance
Travel to work, Means of
Travel to Work, Method of and Number of Employed People
Working Parents
Year last worked

The dataset includes information on age, gender, ethnicity, health, employment status, housing, amenities, family type, geography, social class, education, distance to work, workplace, hours worked and migration. In addition, the ONS have added occupational coding, not...

Abstract copyright UK Data Service and data collection copyright owner.

The study comprises complete mid-1991 and mid-2001 population estimates by single year of age, sex and ethnic group for Council areas in Scotland. Although census output from both 1991 and 2001 provides a detailed account of the population with an ethnic group dimension, and with detail of age and sex, accurate analyses of population change for sub-national areas are subjected to a number of problems that make comparisons of populations over time difficult. These include changes in the population definition, changes in the treatment of non-response, changes in ethnic group classification and age standard outputs, and changes in geographical boundaries for standard census output. A standard methodology has been implemented to overcome these four challenges, and to derive a consistent population time series 1991-2001, with age detail (single year of age or quinary ages), sex and ethnic group. These population estimates are made available using the 2001 Census geography for each district in Scotland. The methods have focused on ensuring consistency with the statistical agencies’ latest estimates of mid-1991 and mid-2001 populations estimates published in 2004 without an ethnic group dimension, as well as with the mid-2001 population estimates published in 2006 with an ethnic group dimension.

Further information can be found on the Cathie Marsh Centre for Census and Survey Research web page and the ESRC Award web page.

Main Topics:

The study provides complete mid-1991 and mid-2001 population estimates by single year of age, sex and ethnic group for Council areas in Scotland.

Habitat fragmentation and genetic bottlenecks can have substantial impacts on the health and management of wildlife species by lowering diversity and subdividing populations. Population genetic comparisons across time periods can help elucidate temporal changes in populations and the processes responsible for the changes. Bobcats (Lynx rufus) are wide-ranging carnivores and are currently increasing in abundance across an expanding range. Bobcat populations in New England have fluctuated in the past century in response to changes in their prey base, harvest pressure, and landscape development. We genotyped contemporary (2010–2017) and historic (1952–1964) bobcats from New England and Quebec, Canada at a suite of microsatellite loci and tested for differences in diversity, effective population size, and gene flow. Over 20 generations separated the sampling periods, and the intervening years were marked by drastic changes in land use and species management regimes. We found a general decrease in genetic diversity and differing population genetic structure through time. Effective population size decreased at the end of the historic period, coincident with a spike in harvest, but rebounded to greater numbers in the contemporary period. Our results suggest that bobcat populations in the region are robust, but development and range dynamics may play a significant role in population structure. Our study also highlights the benefits of a historical perspective in interpreting contemporary population genetic data.

Abstract copyright UK Data Service and data collection copyright owner.

The UK censuses took place on 27 March 2011. They were run by the Northern Ireland Statistics & Research Agency (NISRA), National Records of Scotland (NRS), and the Office for National Statistics (ONS) for both England and Wales. The UK comprises the countries of England, Wales, Scotland and Northern Ireland.

Statistics from the UK censuses help paint a picture of the nation and how we live. They provide a detailed snapshot of the population and its characteristics and underpin funding allocation to provide public services. This is the home for all UK census data.

The 2011 Census Microdata Individual Safeguarded Sample (Regional): Scotland data collection forms part of the statistical outputs from the 2011 Scotland Census. A safeguarded microdata sample of individuals has been identified as a key Census user requirement, and was highlighted as part of a report specifying microdata products from the 2011 Census written by an expert user, Dr. Jo Wathan from the University of Manchester.

The purpose of a safeguarded sample of individuals is to be able to disseminate a detailed microdata file without onerous licensing conditions, by reducing the overall amount of detail compared to the secure samples. Whilst supplying sufficient detail on core variables to fulfil the intended aim of the microdata products, the safeguarded sample is a valuable multi-purpose research file that will be used on a wide range of projects. (For Censuses prior to 2011, these data may have been referred to as 'Samples of Anonymised Records', or SARSs.)

This safeguarded sample is of 5% of the total population at Region level (Scotland), and contain a similar level of detail to the equivalent End User Licence Census 2001 Microdata samples. A similar Scotland dataset at Local Authority level is held under SN 7835. These samples have a low risk of disclosure; but not nil. Registered UK Data Service Census users can download the data to their laptops after agreeing terms and conditions that include constraints on data management under remote storage conditions.

Further information can be found on the Scotland's Census Supporting Information webpage.

Corresponding Regional and Local Authority level data for England and Wales are held under SNs 7605 and 7682, and for Northern Ireland under SNs 7769 and 7770.


Main Topics:


The variables cover: age; household composition and dharacteristics; provision of unpaid care; number of cars and vans; nature of (communal) establishment; central heating; client Groups; country of birth; education and qualifications; health and disability; housing and tenure; deprivation indicators; long-term health problems; distance travelled to work; children; economic Activity; employment; language skills; ethnic groups; general health; hours worked per week; national identity; marital status; household mobility; National Statistics Socio-Economic Classification (NS-SEC); pensions; pensioner households; number of persons per room; religion; household relationships; Census return by internet or paper; social grade; sex; Single Adult Household; student accommodation; schoolchild or student in full-time education; whether usual resident, student living away, or short-term resident; unemployment history; year of arrival in UK (England and Wales).