This dataset represents ethnic group (19 tick-box level) by highest level qualification, for England and Wales combined. The data are also broken down by age and by sex.

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.

Total counts for some population groups may not match between published tables. This is to protect the confidentiality of individuals' data. Population counts have been rounded to the nearest 5 and any counts below 10 are suppressed, this is signified by a 'c' in the data tables.

"Asian Welsh" and "Black Welsh" ethnic groups were included on the census questionnaire in Wales only, these categories were new for 2021.

This dataset provides Census 2021 estimates that classify usual residents in England and Wales by ethnic group. The estimates are as at Census Day, 21 March 2021. This dataset shows population counts for usual residents aged 16+ Some people aged 16 years old will not have completed key stage 4 yet on census day, and so did not have the opportunity to record any qualifications on the census.

These estimates are not comparable to Department of Education figures on highest level of attainment because they include qualifications obtained outside England and Wales.

For quality information in general, please read more from here.

Ethnic Group (19 tick-box level)

These are the 19 ethnic group used in this dataset:

• Asian, Asian British or Asian Welsh
  • Bangladeshi
  • Chinese
  • Indian
  • Pakistani
  • Other Asian
• Black, Black British, Black Welsh, Caribbean or African
  • African
  • Caribbean
  • Other Black
• Mixed or Multiple ethnic groups
  • White and Asian
  • White and Black African
  • White and Black Caribbean
  • Other Mixed or Multiple ethnic groups
• White
  • English, Welsh, Scottish, Northern Irish or British
  • Gypsy or Irish Traveller
  • Irish
  • Roma
  • Other White
• Other ethnic group
  • Arab
  • Any other ethnic group

No qualifications

No qualifications

Level 1

Level 1 and entry level qualifications: 1 to 4 GCSEs grade A* to C , Any GCSEs at other grades, O levels or CSEs (any grades), 1 AS level, NVQ level 1, Foundation GNVQ, Basic or Essential Skills

Level 2

5 or more GCSEs (A* to C or 9 to 4), O levels (passes), CSEs (grade 1), School Certification, 1 A level, 2 to 3 AS levels, VCEs, Intermediate or Higher Diploma, Welsh Baccalaureate Intermediate Diploma, NVQ level 2, Intermediate GNVQ, City and Guilds Craft, BTEC First or General Diploma, RSA Diploma

Apprenticeship

Apprenticeship

Level 3

2 or more A levels or VCEs, 4 or more AS levels, Higher School Certificate, Progression or Advanced Diploma, Welsh Baccalaureate Advance Diploma, NVQ level 3; Advanced GNVQ, City and Guilds Advanced Craft, ONC, OND, BTEC National, RSA Advanced Diploma

Level 4 +

Degree (BA, BSc), higher degree (MA, PhD, PGCE), NVQ level 4 to 5, HNC, HND, RSA Higher Diploma, BTEC Higher level, professional qualifications (for example, teaching, nursing, accountancy)

Other

Vocational or work-related qualifications, other qualifications achieved in England or Wales, qualifications achieved outside England or Wales (equivalent not stated or unknown)

Our research methodology is informed by structuration theory, practice theory and ethnographic methodology. An online survey was distributed to expatriate organisations and individual contacts and the sample was achieved through simple snowball techniques. The survey was ‘live’ through April to November 2012, and obtained 112 responses (57 from Malaysia, 54 from Thailand, and one who did not specify where he lived). Using the survey we were able to gather interesting demographic information. We also asked about migration histories, social lives, social networks and uses of technology for maintaining social ties, personal values and goals, and relationships with other ethnic groups. We understand this survey as contributing to the task of immersing oneself in the context – a key principle of ethnographic work. The fieldwork in Malaysia and Thailand took place between July and November 2012 during which time we undertook a total of 65 recorded interviews (Malaysia: 31; Thailand: 34). We used a variety of interview methods, including face-to-face, email, skype and telephone interviewing. Most of the interviews were conducted with British lifestyle migrants in Penang, Malaysia and in Hua Hin, Thailand. The rest were conducted through digital channels with respondents in other parts of Thailand and Malaysia. These included ‘expert’ interviews with consular staff and migration intermediaries, such as property developers and ‘expat’ magazine publishers. Not all interviews are archivable. Many other interviews were also undertaken within participant observation.This project examined the motivations, experiences and outcomes of Lifestyle Migration, as a contemporary form of social mobility, in South-East Asian contexts. The main research questions were: How are mobility and quality of life understood within eastern and western migrants’ everyday lives and with what consequences for the ways in which they make sense of themselves and their relationships with others? How, in the light of the above, can a more integrated and informed understanding of lifestyle migration and flexible citizenship be developed and how might this set an agenda for further research? These were addressed through an empirical study of British migrants to Malaysia, Thailand and Hong Kong, and Hong Kong migrants to mainland China. The project was informed by strong structuration theory and employed virtual and visual ethnographic methods and life history interviews with migrant men and women. The research aimed to: increase the effectiveness of services and public policy (in UK, China, Hong Kong, Thailand and Malaysia); enhance UK economic competitiveness by encouraging effective help for, and mobilising resources of, British abroad; enhance quality of life through improved health and social welfare; to enhance mutual understanding in lifestyle destinations. Online survey distributed to expatriate organisations and individual migrants who live in Asia. Sample was achieved through simple snowball techniques. The survey obtained 112 responses. Fieldwork in Malaysia and Thailand between July and November 2012. Total of 65 recorded interviews (Malaysia: 31; Thailand: 34). We used a variety of interview methods, including face-to-face, email, skype and telephone interviewing. Most of the interviews were conducted with British lifestyle migrants in Penang, Malaysia and in Hua Hin, Thailand. The rest were conducted through digital channels with respondents in other parts of Thailand and Malaysia. These included ‘expert’ interviews with consular staff and migration intermediaries, such as property developers and ‘expat’ magazine publishers. The study also included analysis of online forums and of visual data. Many further interviews were conducted as part of participant observation. These are not included in the archive.

This dataset is an analysis of the Characteristics of usual residents by whether they have previously served in the UK armed forces, with adjusted estimates for the non-veteran population, based on Census 2021.

People who have previously served in the UK armed forces includes those who have served for at least one day in HM’s Armed Forces, either regular or reserves, or Merchant Mariners who have seen duty on legally defined military operations. It does not include those who have left and since re-entered the regular or reserve UK armed forces, those who have only served in.

The veteran population are older than the general population and also differ in relation to sex and where they live, and these factors interact with other personal characteristics. For example, age can be strongly related to other personal characteristics such as legal partnership status, health and religion. Because of this, veterans may also differ to the usual or non-veteran population when considering related factors such as health and legal partnership status. It is important to be aware of these differences but also to understand when these differences are not attributable to experience of having previously served in the UK armed forces.

Country of birth

The country in which a person was born. For people not born in one of in the four parts of the UK, there was an option to select "elsewhere". People who selected "elsewhere" were asked to write in the current name for their country of birth.

Ethnic group and high-level 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. High-level ethnic group refers to the first stage of the two-stage ethnic group question. High-level groups refer to the first stage where the respondent identifies through one of the following options: * "Asian, Asian British, Asian Welsh" * "Black, Black British, Black Welsh, Caribbean or African" * "Mixed or Multiple" * "White" * "Other ethnic group"

General health

A person's assessment of the general state of their health from very good to very bad. This assessment is not based on a person's health over any specified period of time.

Legal partnership status

Classifies a person according to their legal marital or registered civil partnership status on Census Day 21 March 2021.

Gender identity

Gender identity refers to a person’s sense of their own gender, whether male, female or another category such as non-binary. This may or may not be the same as their sex registered at birth.

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 the variable includes people who answered the question, including “No religion”, alongside those who chose not to answer this question. This variable classifies responses into the eight tick-box response options. Write-in responses are classified by their "parent" religious affiliation, including “No religion”, where applicable.

Sexual orientation

Sexual orientation is an umbrella term covering sexual identity, attraction, and behaviour. For an individual respondent, these may not be the same. For example, someone in an opposite-sex relationship may also experience same-sex attraction, and vice versa. This means the statistics should be interpreted purely as showing how people responded to the question, rather than being about whom they are attracted to or their actual relationships. We have not provided glossary entries for individual sexual orientation categories. This is because individual respondents may have differing perspectives on the exact meaning.

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.

UK armed forces veteran

People who have previously served in the UK armed forces. This includes those who have served for at least one day in HM’s Armed Forces, either regular or reserves, or Merchant Mariners who have seen duty on legally defined military operations. It does not include those who have left and since re-entered the regular or reserve UK armed forces, those who have only served in foreign armed forces, or those who have served in the UK armed forces and are currently living outside of England and Wales.

Data from the 2001 census suggest that rates of single parenthood and divorce among British Asian populations are on the rise, but the statistics do not offer insights into the underlying dynamics. This project aims to produce new empirical data on the causes, processes and consequences of marital instability and divorce among two major British Asian populations: Pakistani Muslims and Punjabi Sikhs. Whilst a large proportion of both groups marry partners from overseas, they differ in marriage patterns and religion. The project will explore whether such differences shape patterns of marital instability, or whether cross-cutting factors such as class, gender dynamics and life stage are more significant. The Principal Investigator will conduct repeated interviews with Pakistani Muslim and Punjabi Sikh couples who have experienced divorce within the last three years. Intended outputs will help inform questions concerning legal pluralism and diversity in social welfare, reorient debates about conservatism and transnational marriage in British Asian families, and engage with theory concerning the family. Ethical approval has been granted by the Central University Research Ethics Committee of Oxford University.

Image: Snapshot from the Map of Community Views To understand different communities’ experiences during the COVID-19 pandemic, Deputy Mayor for Social Integration, Social Mobility and Community Engagement, Dr Debbie Weekes-Bernard and the GLA Community Engagement Team convened a series of virtual roundtable conversations and community meetings with groups and community leaders between April and September 2020. These conversations covered a range of complex issues. We heard about the overexposure of Black and Asian Minority Ethnic communities to the pandemic because they often work in frontline roles; the upsurge in hate crime against East and South East Asian Londoners; heightened need for domestic abuse support and better community language translations including specific dialects; the deep impact the virus has had on specific groups such as Somali, Bengali and Pakistani Londoners, particularly because of challenges with housing arrangements; the challenges for families around education for many groups including Gypsy, Roma, Traveller communities; concerns for LGBT+, Younger and Older Londoners; the impact of the Black Lives Matter movement; faith communities having to adapt their services and facing loss of income as a result, and much more. It was clear throughout that grassroots Faith and Community groups have played a crucial role meeting essential needs. The map of community views does not name specific groups but captures themes that can be addressed at policy level in close partnership with those affected, by recognising the strength of London’s community sector. 21 Roundtables and Community Meetings 250 Civil society and community groups reached

These statistics are derived from the National Community Child Health Database (NCCHD). This data sources are provided to the Welsh Government by Digital Health and Care Wales (DHCW). The NCCHD was established in 2004 and consists of anonymised records for all children born, resident or treated in Wales and born after 1987. The database brings together data from local Community Child Health System databases which are held by local health boards (LHBs) and its main function is to provide an online record of a child’s health and care from birth to leaving school age. The statistics used in this release are based on the data recorded at birth and shortly after birth. Full details of every data item available in the Maternity Indicators dataset are available through the NHS Wales Data Dictionary: http://www.datadictionary.wales.nhs.uk/#!WordDocuments/datasetstructure20.htm The data dictionary also defines how ethnic groups are classified, namely: White (any white background); Asian (Pakistani, Bangladeshi, Chinese, Indian, any other Asian background); Mixed/multiple (white and Asian, white and black African, white and black Caribbean, any other mixed background); Other (any other ethnic group); Black (African, Caribbean, any other black background).

This data collection comprises interview transcripts from Tokyo (34), Shanghai(36) and Hong Kong(27). Rising home ownership rates, volatile property markets and deregulated financial systems are increasingly important ingredients in the shaping of advantage and opportunity in contemporary societies. This cross-national, comparative research examines how the role of housing assets influences relationships within the family and across generations in East Asian societies. The different pattern and pace of economic and social change mean that the distribution of housing wealth may vary substantially across societies in the region. In some countries, it is an older generation of home owners which has benefited from extraordinary levels of house price inflation. In other countries, it is a younger, emergent middle class which is accumulating housing wealth on a scale far removed from the experiences of their parents and grandparents. The fieldwork was conducted in three dynamic cities in East Asia. The research will involve interviews with three generations (grandparents, parents and adult children) in 12 families in each city; and will highlight how work, entry to home ownership, and asset accumulation play out over the life course.

Abstract copyright UK Data Service and data collection copyright owner. The purpose of this study was to collect data for a pilot study to investigate the psychological and social adjustment of Asian immigrants to Britain. Main Topics: Attitudinal/Behavioural Questions Reasons for migration, intended length of stay, other countries lived in, satisfaction with move to England. Respondent's perception of realities of life after migration as compared with expectations before migration in relation to financial, social, occupational, educational, climatic and general conditions. Experience of discrimination in employment, housing, education, in social life, by police or government. Respondent's perception of own condition at various stages of life cycle. Scores on various scales: Goldberg, Kellner-Sheffield, Langner and Life Events Inventory. Diagnosis for psychiatric patients, time in treatment. Background Variables Age, marital status, place of birth (respondent and parents). Length of respondent's and spouse's residence in England. Type of residence, tenure, number of rooms, number of occupants. Place of residence of parents, spouse and children and date of last contact. Employment status, social class (respondent, spouse and parents). Level of education (respondent, spouse and father). Out-patients: total for a period of 9 months Community residents: quota (using population parameters from OPCS, 1974) Local Asians and students: samples of convenience used for reliability check Face-to-face interview

This dataset provides information on where UK armed forces veterans lived: usual residents, aged 16 years and over by whether they have previously served in the UK armed forces in England and Wales.

Child family status

Identifies whether a person is living in a family with a child and has specific categories for those who have children based on the relationship of the parent couple, those not in a family and those who are children in a family are grouped together. Categories were: • has children (in a lone parent family, married couple family, civil partnership family or cohabiting couple family) • does not have children or is a child within a family • living in a communal establishment

Dependent Child

A dependent child is a person aged 0 to 15 years in a household or a person aged 16 to 18 years who is in full-time education and lives in a family with their parent, parents, grandparent or grandparents. It does not include any person aged 16 to 18 years who has a spouse, partner or child living in the household

Ethnic group and high-level 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. High-level ethnic group refers to the first stage of the two-stage ethnic group question. High-level groups refer to the first stage where the respondent identifies through one of the following options: "Asian, Asian British, Asian Welsh" "Black, Black British, Black Welsh, Caribbean or African" "Mixed or Multiple" "White" "Other ethnic group"

Family

A family is a group of people who are either: • married, civil partnered or cohabiting couple with or without children (the children do not need to belong to both members of the couple) • a lone parent with children • a married, civil partnered or cohabiting couple with grandchildren but where the parents of those grandchildren are not present • a single or couple grandparent with grandchildren but where the parents of those grandchildren are not present

Family status

Denotes whether a person is considered to be in a family and the place a person holds within that family. Categories were: • not in a family • in a couple family (as a member of the couple or a dependent or non-dependent child of one or both members of the couple) • in a lone parent family (as a parent or a dependent or non-dependent child of the parent) • living in a communal establishment

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 or dining area. This includes all sheltered accommodation units in an establishment and all people living in caravans on any type of site that is their usual residence. 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.

Household size

The number of people in the household. Visitors staying at an address do not count to that household’s size. Living arrangements This classification combines responses to the Census question on marital and civil partnership status with information about whether or not a person is living in a couple. This topic is only applicable to people in households. Living arrangements differs from marital and civil partnership status because cohabiting takes priority over other categories. For example, if a person is divorced and cohabiting, then in results for living arrangements they are classified as cohabiting.

UK armed forces veteran

People who have previously served in the UK armed forces. This includes those who have served for at least one day in HM’s Armed Forces, either regular or reserves, or Merchant Mariners who have seen duty on legally defined military operations. It does not include those who have left and since re-entered the regular or reserve UK armed forces, those who have only served in foreign armed forces, or those who have served in the UK armed forces and are currently living outside of England and Wales.

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.

This dataset shows the number of persons who have approached Birmingham City Council and presented as homeless or threatened with homelessness. Data is broken down by year and ethnicity.In England, local authorities have a statutory duty to prevent homelessness under the Homelessness Reduction Act 2017. This duty requires them to take reasonable steps to help individuals who are threatened with homelessness within 56 days to secure that accommodation does not cease to be available for their occupation. Small number suppression has been applied to those detailed ethnicities which are less than 10. All those individuals will be listed as a group called Data disclosure protection.

T2D-GENES (Type 2 Diabetes Genetic Exploration by Next-Generation Sequencing in Multi-Ethnic Samples) is a NIDDK-funded international research consortium which seeks to identify genetic variants for type 2 diabetes (T2D) through multiethnic sequencing studies. T2D-GENES Project 1 is a multi-ethnic sequencing study designed to assess whether less common variants play a role in T2D risk and to assess similarities and differences in the distribution of T2D risk variants across ancestry groups. The individuals were obtained from 14 cohorts that are listed in Table 1. The strategy was to perform deep exome sequencing of 12,940 individuals, 6,504 with T2D and 6,436 controls, divided among five ancestry groups: Europeans, East Asians, South Asians, American Hispanics, and African Americans. Sequencing was performed at the Broad Institute using the Agilent v2 capture reagent on Illumina HiSeq machines. Please note that while we summarize the full sample list in publications and below, the Kooperative Gesundheitsforschung in der Region Augsburg (KORA) study does not have a sub study, as it is not consented to be deposited in dbGAP. Table 1. T2D-GENES Whole Exome Sequencing Studies Ancestry Study Countries of Origin # Cases # Controls African American Jackson Heart Study US 502 527 African American Wake Forest School of Medicine Study US 518 532 East Asian Korea Association Research Project Korea 526 561 East Asian Singapore Diabetes Cohort Study; Singapore Prospective Study Program Singapore (Chinese) 486 592 European Ashkenazi US, Israel 506 352 European Metabolic Syndrome in Men Study (METSIM) Finland 484 498 European Finland-United States Investigation of NIDDM Genetics (FUSION) Study Finland 472 476 European Kooperative Gesundheitsforschung in der Region Augsburg (KORA) Germany 97 90 European UK Type 2 Diabetes Genetics Consortium (UKT2D) UK 322 320 European Malmö-Botnia Study Finland, Sweden 478 443 Hispanic San Antonio Family Heart Study, San Antonio Family Diabetes/ Gallbladder Study, Veterans Administration Genetic Epidemiology Study, and the Investigation of Nephropathy and Diabetes Study Family Component US 272 219 Hispanic Starr County, Texas US 749 704 South Asian London Life Sciences Population Study (LOLIPOP) UK (Indian Asian) 530 538 South Asian Singapore Indian Eye Study Singapore (Indian Asian) 563 585 The London Life Sciences Population Study (LOLIPOP) contributed 530 cases and 538 controls to T2D-GENES Project 1.

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.CoverageThis dataset is focused on the data for Birmingham at Ward level. Also available at LSOA, MSOA and Constituency levels.About the 2021 CensusThe Census takes place every 10 years and gives us a picture of all the people and households in England and Wales.Protecting personal dataThe ONS sometimes need to make changes to data if it is possible to identify individuals. This is known as statistical disclosure control. In Census 2021, they:

Swapped records (targeted record swapping), for example, if a household was likely to be identified in datasets because it has unusual characteristics, they swapped the record with a similar one from a nearby small area. Very unusual households could be swapped with one in a nearby local authority. Added small changes to some counts (cell key perturbation), for example, we might change a count of four to a three or a five. This might make small differences between tables depending on how the data are broken down when they applied perturbation.For more geographies, aggregations or topics see the link in the Reference below. Or, to create a custom dataset with multiple variables use the ONS Create a custom dataset tool.Population valueThe value column represents All usual residents.The percentage shown is the value as a percentage of All usual residents within the given geography.

Dataset population: Persons

Age upon arrival in the UK

The age of arrival in the UK is derived from the date that a person last arrived to live in the UK and their age. Short visits away from the UK are not counted in determining the date that a person last arrived.

Age of arrival is only applicable to usual residents who were not born in the UK. It does not include usual residents born in the UK who have emigrated and since returned; these are recorded in the category 'Born in the UK'.

Ethnic group

Ethnic group classifies people according to their own perceived ethnic group and cultural background.

This topic contains ethnic group write-in responses without reference to the five broad ethnic group categories, e.g. all Irish people, irrespective of whether they are White, Mixed/multiple ethnic groups, Asian/Asian British, Black/African/Caribbean/Black British or Other ethnic group, are in the Irish response category. This topic was created as part of the commissioned table processing.

These statistics are derived from the National Community Child Health Database (NCCHD). This data source is provided to the Welsh Government by Digital Health and Care Wales (DHCW). The NCCHD was established in 2004 and consists of anonymised records for all children born, resident or treated in Wales and born after 1987. The database brings together data from local Community Child Health System databases which are held by local health boards (LHBs), and its main function is to provide an online record of a child’s health and care from birth to leaving school age. The statistics used in this release are based on the data recorded at birth and shortly after birth. Full details of every data item available on both the Maternity Indicators dataset and National Community Child Health Database are available through the NHS Wales Data Dictionary: http://www.datadictionary.wales.nhs.uk/#!WordDocuments/datasetstructure20.htm Live births can be recorded as singletons (one baby born), or multiples (twins, triplets or more babies born). The data dictionary also defines how ethnic groups are classified, namely: White (any white background); Asian (Pakistani, Bangladeshi, Chinese, Indian, any other Asian background); Mixed/multiple (white and Asian, white and black African, white and black Caribbean, any other mixed background); Other (any other ethnic group); Black (African, Caribbean, any other black background).

Unequal impact of COVID-19: BAME disproportionality With the whole country and world waking up to the deeply entrenched structural equalities that have impacted the lives of our Black, Asian and other ethnic Minority communities, there is a collective appreciation that we need to go further to dismantle a system, and create new ones. Local and national evidence shows that people from a Black, Asian or minority ethnic background are disproportionately impacted by Covid-19. In response to this, the council implemented this working group to carry out a rapid 6-week programme to gather evidence of the impacts of Covid-19 and develop actions for supporting our residents during this time and beyond. Intensive work has been underway to understand and take action to address the direct and indirect health impacts of Covid-19 on our Black, Asian and other Ethnic Minority communities in Camden, and to ensure that individuals and communities are protected both now and through the next phase of the pandemic, but also to bring about wider systemic change. This document is us working in the open with you and shows the information that was provided by different service areas to the member-led working group for comment and to develop actions going forward. The Black, Asian and other Ethnic Minority Inequalities and Covid-19 Working Group has benefitted from evidence and the lived experience of our residents, VCS partners, professionals and Members in guiding and shaping the Council’s response from bureaucratic to relational. In this document you will find summaries of the data included in these presentation slides and the relevant links to documents.

This dataset provides information on Who UK armed forces veterans lived with, including household residents by household composition and family status, Census 2021.

Child family status

Identifies whether a person is living in a family with a child and has specific categories for those who have children based on the relationship of the parent couple, those not in a family and those who are children in a family are grouped together. Categories were: • has children (in a lone parent family, married couple family, civil partnership family or cohabiting couple family) • does not have children or is a child within a family • living in a communal establishment

Dependent Child

A dependent child is a person aged 0 to 15 years in a household or a person aged 16 to 18 years who is in full-time education and lives in a family with their parent, parents, grandparent or grandparents. It does not include any person aged 16 to 18 years who has a spouse, partner or child living in the household

Ethnic group and high-level 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. High-level ethnic group refers to the first stage of the two-stage ethnic group question. High-level groups refer to the first stage where the respondent identifies through one of the following options: "Asian, Asian British, Asian Welsh" "Black, Black British, Black Welsh, Caribbean or African" "Mixed or Multiple" "White" "Other ethnic group"

Family

A family is a group of people who are either: • married, civil partnered or cohabiting couple with or without children (the children do not need to belong to both members of the couple) • a lone parent with children • a married, civil partnered or cohabiting couple with grandchildren but where the parents of those grandchildren are not present • a single or couple grandparent with grandchildren but where the parents of those grandchildren are not present

Family status

Denotes whether a person is considered to be in a family and the place a person holds within that family. Categories were: • not in a family • in a couple family (as a member of the couple or a dependent or non-dependent child of one or both members of the couple) • in a lone parent family (as a parent or a dependent or non-dependent child of the parent) • living in a communal establishment

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 or dining area. This includes all sheltered accommodation units in an establishment and all people living in caravans on any type of site that is their usual residence. 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.

Household size

The number of people in the household. Visitors staying at an address do not count to that household’s size. Living arrangements This classification combines responses to the Census question on marital and civil partnership status with information about whether or not a person is living in a couple. This topic is only applicable to people in households. Living arrangements differs from marital and civil partnership status because cohabiting takes priority over other categories. For example, if a person is divorced and cohabiting, then in results for living arrangements they are classified as cohabiting.

UK armed forces veteran

People who have previously served in the UK armed forces. This includes those who have served for at least one day in HM’s Armed Forces, either regular or reserves, or Merchant Mariners who have seen duty on legally defined military operations. It does not include those who have left and since re-entered the regular or reserve UK armed forces, those who have only served in foreign armed forces, or those who have served in the UK armed forces and are currently living outside of England and Wales.

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.

Abstract copyright UK Data Service and data collection copyright owner.The purpose of this survey was to study non-white people aged 15 and over, whose families originate from India, Pakistan and Bangladesh, or the East Indies, with reference to their housing, employment and educational characteristics, their awareness and experience of racial discrimination. Comparative data were also collected for white men aged 16 and over, using the same questionnaire but with questions omitted when not applicable. Main Topics: Attitudinal/Behavioural Questions Immigration: reasons; advantages of Britain/previous country; whether definite job arranged prior to arrival. Residence: number of rooms occupied; whether house was multi-occupied; amenities (whether shared); number of addresses in past five years. Tenure: 1. If owned: whether singly or jointly; mortgage/loan details; leasehold/freehold (date of expiry). 2. If rented: rent and rates details; council/private ownership; race of landlord. Council house tenants were asked how they obtained their housing. Reasons for leaving previous residence: A. Personal experience of mortgage/loan refusal, type of organisation which refused, year of application. B. Personal experience of refusal of rented accommodation, number of refusals, details of last refusal. In both A and B, respondents were asked to give the organisation's reasons for refusal and their personal opinion of reasons, with an explanation. Details of housing and financial facilities provided by the Council, entitlement/receipt of rent rebates and/or allowances, whether respondent has made an application to the council (length of time on waiting list). Occupation: hours worked per week, position, responsibility, qualifications, nature of firm, number of employees, source of information about job, promotion prospects, job satisfaction. In addition, respondents were asked whether they had visited the employment exchange or were receiving/had received benefits since 1964. Respondents were asked to relate experiences of unfair treatment with regard to promotion or application for jobs, and whether they thought there were firms giving equal opportunities to Asians and whites. Whether respondent believed employers discriminated against them - reasons. Details of previous refusals. Trade union membership and existence of unions at workplace. Whether unemployed women had ever considered working (reasons). Working women with children were asked about child care facilities (hours, cost, satisfaction, etc.) Asian women were asked whether religion or family custom restricted their lives in terms of work, going out, company. Desired change was explored. All respondents asked whether situation in Britain had improved for Asians over past five years - reasons. Knowledge of government bodies on race relations/Race Relations Board and its functions/Community Relations Commission and its functions was tested. Whether voted at previous general election. Whether on voting list. Background Variables Age, sex, place of birth, previous countries of residence, date of arrival in Britain, age on arrival in Britain. Number of persons in household, household status. Age finished full-time education, examination and qualification details, further study, school attended by children. Employment status, income, ownership of consumer durables. Residence: type, age, external conditions. Fluency in English, language of interview. Sampling area. Religion, church/mosque/temple attendance.

This data collection consists of behavioural task data for measures of attention and interpretation bias, specifically: emotional Stroop, attention probe (both measuring attention bias) and similarity ratings task and scrambled sentence task (both measuring interpretation bias). Data on the following 6 participant groups are included in the dataset: native UK (n=36), native HK (n=39), UK migrants to HK (short term = 31, long term = 28) and HK migrants to UK (short term = 37, long term = 31). Also included are personal characteristics and questionnaire measures. The way in which we process information in the world around us has a significant effect on our health and well being. For example, some people are more prone than others to notice potential dangers, to remember bad things from the past and assume the worst, when the meaning of an event or comment is uncertain. These tendencies are called negative cognitive biases and can lead to low mood and poor quality of life. They also make people vulnerable to mental illnesses. In contrast, those with positive cognitive biases tend to function well and remain healthy. To date most of this work has been conducted on white, western populations and we do not know whether similar cognitive biases exist in Eastern cultures. This project will examine cognitive biases in Eastern (Hong Kong nationals ) and Western (UK nationals) people to see whether there are any differences between the two. It will also examine what happens to cognitive biases when someone migrates to a different culture. This will tell us whether influences from the society and culture around us have any effect on our cognitive biases. Finally the project will consider how much our own cognitive biases are inherited from our parents. Together these results will tell us whether the known good and bad effects of cognitive biases apply to non Western cultural groups as well, and how much cognitive biases are decided by our genes or our environment. Participants: Local Hong Kong and UK natives; short term and long term migrants in each country, aged 16-65 with no current major physical illness or psychological disorder, who were not receiving psychological therapy or medication for psychological conditions. Sampling procedure: Participants were recruited using circular emails, public flyers and other advertisements in local venues, universities and clubs. Data collection: Participants completed four previously developed and validated cognitive bias tasks (emotional Stroop, attention probe, similarity ratings task and scrambled sentence task) in their native language. They also completed socio-demographic information and questionnaires.

BackgroundPeople of South Asian backgrounds living in the UK have a five-fold increased risk of diabetes and a two-fold increased risk of heart disease when compared to the general population. Physical activity can reduce the risk of premature death from a range of conditions. The aim of the study was to explore the motivating and facilitating factors likely to increase physical activity for South Asian adults and their families, in order to develop successful interventions and services. Methodology/Principal FindingsThis was a qualitative study using focus groups and in-depth interviews. Participants were 59 purposively selected Bangladeshi-, Indian- and Pakistani-origin men and women with an additional 10 key informants. The setting was three urban areas of Scotland: Aberdeen, Glasgow and Edinburgh. We undertook a theoretically informed thematic analysis of data. Study participants described engaging in a range of physical activities, particularly football and the gym for men, and walking and swimming for women. The main motivators for taking part in physical activity were external motivators – i.e. undertaking physical activity as a means to an end, which included the opportunities that physical activity provided for social activity and enjoyment. The goals of weight reduction and improving mental and physical health and were also mentioned. Role models were seen as important to inspire and motivate people to undertake activities that they may otherwise lack confidence in. Few people undertook physical activity for its own sake (intrinsic motivation). Conclusions/SignificanceAttempts at promoting physical activity in people of South Asian origin need to take account of the social context of people's lives and the external motivators that encourage them to engage in physical activity. Undertaking group based physical activity is important and can be facilitated through religious, community, friendship or family networks. Role models may also prove particularly helpful.

Our annual Workforce Diversity Profile has been published for 2024. The report highlights our workforce as of June 2024 and provides valuable insight into the diversity of our organisation. Our workforce From this report we can see our workforce includes 5.8% of colleagues who have chosen to stay employed with us for over 25 years - something we will continually celebrate. The average age of a Cambridgeshire County Council colleague is 46 years old, and 76% of our colleagues are female. 171 colleagues took either maternity, paternity or adoption leave or shared parental leave within this period. Comparing the workforce data to last year shows: Disclosure rates have increased for Ethnicity, Sexual Orientation, Gender Identity and Religion or Religious Belief in 2024, compared to 2023. The male/female split remains roughly the same. A slight increase in the proportion of Minority ethnic employees (Other ethnic group, Mixed or multiple ethnic group, Black, Black British, Caribbean or African, and Asian or Asian British).