Important notice

The Office for Statistics Regulation confirmed on 12/09/2024 that the gender identity estimates from Census 2021 are no longer accredited official statistics and are classified as official statistics in development.

For further information please see: Sexual orientation and gender identity quality information for Census 2021

These datasets provide Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales for gender identity by sex, gender identity by age and gender identity by sex and age.

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.

Non-binary

Someone who is non-binary does not identify with the binary categories of man and woman. In these results the category includes people who identified with the specific term "non-binary" or variants thereon. However, those who used other terms to describe an identity that was neither specifically man nor woman have been classed in "All other gender identities".

Sex

This is the sex recorded by the person completing the census. The options were "Female" and "Male".

Trans

An umbrella term used to refer to people whose gender identity is different from their sex registered at birth. This includes people who identify as a trans man, trans woman, non-binary or with another minority gender identity.

Trans man

A trans man is someone who was registered female at birth, but now identifies as a man.

Trans woman

A trans woman is someone who was registered male at birth, but now identifies as a woman.

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.

Notes:

• To ensure that individuals cannot be identified in the data, population counts have been rounded to the nearest five and counts under 10 have been suppressed.

• Percentages have been calculated using rounded data.

The LGBTQI+ Dataset 2020-2022_es is a collection of 410,015 original tweets extracted from the social network Twitter between January 1, 2020, and December 31, 2022. To ensure data quality and relevance, retweets, replies, and other duplicate content were excluded, retaining only original tweets. The tweets were collected by Jacinto Mata (University of Huelva, I2C/CITES) with the support of the Python programming language and using the twarc2 tool and the Academic API v2 of Twitter. Tbis data collection is part of the project “Conspiracy Theories and Hate Speech Online: Comparison of patterns in narratives and social networks about COVID-19, immigrants and refugees and LGBTI people [NON-CONSPIRA-HATE!]”, PID2021-123983OB-I00, funded by MCIN/AEI/10.13039/501100011033/ by FEDER/EU.

The search criteria (words and hashtags) used for the data collection followed the objectives of the aforementioned project and were defined by Estrella Gualda, Francisco Javier Santos Fernández and Jacinto Mata (University of Huelva, Spain). Terms and hashtags used for the search and extraction of tweets were: #orgullogay, #orgullotrans, #OrgulloLGTB, #OrgulloLGTBI, #Díadelorgullo, #TRANSFOBIA, #transexuales, #LGTB, #LGTBI, #LGTBIQ, #LGTBQ, #LGTBQ+, anti-gay, "anti gay", anti-trans, "anti trans", "Ley Anti-LGTB", "ley trans", "anti-ley trans".

This dataset collected in the frame of the NON-CONSPIRA-HATE! project had the aim of identifying and mapping online hate speech narratives and conspiracy theories towards LGBTIQ+ people and community. Additionally, the dataset is intended to compare communication patterns in social media (rhetoric, language, micro-discourses, semantic networks, emotions, etc.) deployed in different datasets collected in this project. This dataset also contributes to mapping the actors, communities, and networks that spread hate messages and conspiracy theories, aiming to understand the patterns and strategies implemented by extremist sectors on social media. he dataset includes messages that address a wide range of topics related to the LGBTQI+ community, such as rights, visibility, the fight against discrimination and transphobia, as well as debates surrounding the Trans Law and other related issues. It includes expressions of support and celebration of Pride as well as hate speech and opposition to LGBTQI+ rights, along with debates and controversies surrounding these issues.

This dataset offers a wide range of possibilities for research in various disciplines, as the following examples express:

Social Sciences & Digital Humanities:
- Analysis of opinions, attitudes, and trends toward the LGBTIQ+ people and community.
- Studies on the evolution of public discourse and polarization around issues such as transphobia, hate speech, disinformation, LGBTIQ+ rights and pride, and others.
- Analysis on social and political actors, leaders or organizations disseminating diverse narratives on LGBTIQ+
- Research on the impact of specific events (e.g., Pride Day) on social media conversations.
- Investigations on social and semantic networks around LGBTIQ+ people and community.
- Analysis of narratives, discourses and rethoric around gender identity and sexual diversity.
- Comparative studies on the representation of the LGBTIQ+ people and community in different cultural or geographic contexts.

Computer Science and Artificial Intelligence:
- Development of algorithms for the automatic detection of hate speech, discriminatory language, or offensive content.
- Training natural language processing (NLP) models to analyze sentiments and emotions in texts related to the LGBTIQ+ people and community.

For more information on other technical details of the dataset and the structure of the .jsonl data, see the “Readme.txt” file.

The 2015 U.S. Transgender Survey (USTS) was conducted by the National Center for Transgender Equality (NCTE) to examine the experiences of transgender adults in the United States. The USTS questionnaire was administered online and data were collected over a 34-day period in the summer of 2015, between August 19 and September 21. The final sample included respondents from all fifty states, the District of Columbia, American Samoa, Guam, Puerto Rico, and U.S. military bases overseas. The USTS Public Use Dataset (PUDS) features survey results from 27,715 respondents and details the experiences of transgender people across a wide range of areas, such as education, employment, family life, health, housing, and interactions with police and prisons. The survey instrument had thirty-two sections that covered a broad array of topics, including questions related to the following topics (in alphabetical order): accessing restrooms; airport security; civic participation; counseling; family and peer support; health and health insurance; HIV; housing and homelessness; identity documents; immigration; intimate partner violence; military service; police and incarceration; policy priorities; public accommodations; sex work; sexual assault; substance use; suicidal thoughts and behaviors; unequal treatment, harassment, and physical attack; and voting. Demographic information includes age, racial and ethnic identity, sex assigned at birth, gender and preferred pronouns, sexual orientation, language(s) spoken at home, education, employment, income, religion/spirituality, and marital status. There are no publicly available data files for this study. The naming conventions were maintained from the original pre-ICPSR release and the PUDS file is restricted use along with the qualitative data (MS Excel) file. Before applying for access to these data please refer to the Approved Requests for USTS Data. These abstracts describe work currently in progress, and we provide them to help reduce the risk of duplication of research efforts.

Selected socioeconomic characteristics of the transgender or non-binary population aged 15 and older, by age group. Marital status, presence of children under age 12 in the household, education, employment, personal income, Indigenous identity, the visible minority population, immigrant status, language(s) spoken most often at home, place of residence (population centre/rural), self-rated general health, and self-rated mental health. Estimates are obtained from combined cycles of the Canadian Community Health Survey, 2019 to 2021.

IntroductionThis study describes the differences and similarities in mental health, substance use, and substance use treatment outcomes between people presenting for SUD treatment who identified as transgender and those who identified as cisgender men or women.MethodsWe compared 64 individuals who self-identified as transgender and presented for SUD treatment to samples of cisgender men and women (separately) matched based on propensity scores which were created based on sociodemographic factors known to influence both the nature of substance use and patterns of treatment engagement including age, education, race, stable housing, and employment status. Comparisons were made using χ2 tests and t-tests in over 150 variables collected at treatment intake regarding physical and mental health, substance use patterns, events that led to treatment, reasons for seeking treatment, and treatment outcomes.ResultsThe transgender sample endorsed six of the seven suicide-related items more often than at least one of the cisgender-matched samples. Furthermore, the transgender sample remained in treatment significantly longer (M = 32.3, SD = 22.2) than the cisgender male sample (M = 19.5, SD = 26.1, t = 2.17, p = 0.03).DiscussionThis study is a first step into understanding gender minority population experiences during SUD treatment. While there was no significant difference between the cisgender and transgender samples on most variables, there was an elevated prevalence of suicidal ideation and behaviors in the transgender sample, which warrants further investigation.

The TransPop study is the first national probability sample of transgender individuals in the United States (it also includes a comparative cisgender sample). A primary goal of this study was to provide researchers with a representative sample of transgender people in the United States. The study examines a variety of health-relevant domains including health outcomes and health behaviors, experiences with interpersonal and institutional discrimination, identity, transition-related experiences, and basic demographic characteristics (age, race/ethnicity, religion, political party affiliation, marital status, employment, income, location, sex, gender, and education). Co-investigators (in alphabetical order): Walter O. Bockting, Ph.D. (Columbia University); Jody L. Herman, Ph.D. (UCLA); Sari L. Reisner, Ph.D. (Harvard University and The Fenway Institute, Fenway Health).

Replication materials for the referenced article. Multiple data files and codes. Please see the README ("Information for Replication Materials" document) for reference.

The census is undertaken by the Office for National Statistics every 10 years and gives us a picture of all the people and households in England and Wales. The most recent census took place in March of 2021.The census asks every household questions about the people who live there and the type of home they live in. In doing so, it helps to build a detailed snapshot of society. Information from the census helps the government and local authorities to plan and fund local services, such as education, doctors' surgeries and roads.Key census statistics for Leicester are published on the open data platform to make information accessible to local services, voluntary and community groups, and residents.Further information about the census and full datasets can be found on the ONS website - https://www.ons.gov.uk/census/aboutcensus/censusproductsGender IdentityThis dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales by gender identity. The estimates are as at Census Day, 21 March 2021.Definition: Classifies people according to the responses to the gender identity question. This question was voluntary and was only asked of people aged 16 years and over.

Abstract copyright UK Data Service and data collection copyright owner. This project explored how young people think about suicide and self-harm. Specifically, it considered how young people's understandings of how distress relating to gender identity or sexuality could lead to suicide. It adopted a discourse analytic approach, understanding that suicidal behaviour becomes possible only insofar as it makes sense. The study also focused on struggles young people may experience around sexuality and gender identity and how these struggles may lead to suicidal behaviour. The research involved 11 focus groups and 13 interviews with participants aged 16-25 years. The fieldwork took place in the North West of England and South Wales. Three focus groups were made up of young people who identify themselves as lesbian, gay, bisexual or transgender (LGB or T). Seven interviewees identified themselves lesbian, gay or bisexual. Further information about the research can be found at the project's web site or ESRC award web page. Main Topics: Youth, suicide, self-harm, sexuality, gender identity, homophobia, identity, gender, sexual orientation, suicide, adolescents, ideation. Purposive selection/case studies Volunteer sample volunteers were invited but specific efforts were made to ensure ethnic diversity and to include a proportion of gay, lesbian, bisexual, and transgender participants Face-to-face interview focus group

This report, Coming out in the Kingdom: Lesbian, gay, bisexual and transgender people in Cambodia, is an output of the LGBT Rights Project implemented by the Cambodian Center for Human Rights. The Report uses the LGBT terminology to discuss the situation of LGBT people in Cambodia, it is important to bear in mind that such terminology is new for Cambodian society, including LGBT individuals themselves, who may not identify themselves as lesbian, gay, bi‐sexual or transgender (as discussed in Section 2 of this Report). The concepts of sexual orientation and gender identitythat have developed in the West may not do justice to the flexible way sexuality is perceived in Cambodia. Accordingly, another challenge to advancing LGBT rights in Cambodia is finding the appropriate language to use when engaging in dialogue with Cambodians about sexual orientation and gender identity.

This data set contains EIIHA populations who received services funded by Ryan White Part A Grant. EIIHA is Early Identification of Individuals with HIV/AIDS (EIIHA) The special populations (EIIHA) with HIV are: Black MSM = Black men and Black transgender women who have sex with men. Latinx MSM = Latinx men and Latinx Transgender women who have sex with men. Black Women - Black women Transgender - Transgender men and women. These populations have the biggest disparities of people living with HIV. Other data is the number of clients and units used in each service category in the Ryan White Part A, a grant that provides services for those with HIV.

This study explores the relationship between gender identity and the use of creaky voice (a non-modal phonation commonly referred to as "vocal fry.") While early research suggested that men were more likely to use creaky voice, more recently its use has been associated with the language use of young, urban, American women. This study explores the relationship between creaky voice and gender identity in American English, and investigates the social stratification of creaky voice for additional social factors like sexual orientation, age, and socioeconomic status. Production and perception data were gathered from 69 participants with a range of gender identities (including men, women, and non-binary individuals, as well as individuals who identify as both cis and trans) in 2013. The dataset contains audio files and tabular data.

Data collected between 2014 and 2016 from self-identified lesbian, gay, bisexual, trans and queer (LGBTQ) individuals in India and the UK. This data was collected at specific workshops held in India and the UK, and via the project's website (see Related Resources). The study used a 7 phase mixed methods design: 1. Project planning and research design, including formally establishing the advisory group and meeting 1, setting milestones and setting in place all agreements/ethical approvals 2. Literature review exploring key measures used to rate and assess LGBTQ 'friendliness'/inclusion nationally, supra-nationally and internationally 3. A spatial assessment of LGBTQ liveabilities that includes, but moves beyond, the measures identified in phase 2, applying these at a local scale e.g. policy indicators and place based cultural indicators 4. Twenty focus groups (80 participants, sample targeting marginalised LGBTQ people), coupled with online qualitative questionnaires (150), and shorter SMS text questionnaires (200)/App responses (200) to identify add to the liveability index created in phase 3 and what makes life un/liveable for a range of LGBTQ people and how this varies spatially 5. Participants in the data collection will be invited to reconfigure place through UK/India street theatre performances. These will be video recorded, edited into one short video and widely distributed. Data will be collected by observing interactions; on the spot audience surveys; reflections on the event 6. The research will analyse the data sets as they are collected. At the end of the data collection phase time will be taken to look across all 4 data sets to create a liveability index 7. Research dissemination will be targeted at community and academic audiences, including end of project conferences in India/UK, collating policy/community reports, academic outputs. The impact plan details the short (transnational support systems; empowerment of participants), medium (policy changes, inform practice) and long-term (changing perceptions of LGBTQ people) social impacts and how these will be achieved.The main research objective is to move beyond exclusion/inclusion of Lesbian, Gay, Bisexual, Trans, Queer (LGBTQ) communities in UK and India creating a liveability model that can be adapted globally. Whilst work has been done to explore the implications of Equalities legislation, including contesting the normalisations of neo-liberalisms, there has yet to be an investigation into what might make every day spaces liveable for LGBTQ people. This project addresses social exclusion, not only through identifying exclusions, but also by exploring how life might become liveable in everyday places in two very different contexts. In 2013 the Marriage (Same Sex) Act passed in the UK, and in India the Delhi High Court's reading down Indian Penal Code 377 in 2009 to decriminalize sexual acts between consenting same-sex people was overturned by the Supreme Court. Yet bullying, mental health and safety continue to be crucial to understanding British LGBTQ lives, in contrast the overturned the revoke of Penal Code 377 2013, this has resulted in increased visibilities of LGBTQ people. These different contexts are used to explore liveable lives as more than lives that are just 'bearable' and moves beyond norms of happiness and wellbeing. This research refuses to be fixed to understanding social liberations through the exclusion/inclusion, in place/out of place dichotomies. Using commonplace to move beyond 'in place' towards being common to the place itself. Place can then be shared in common as well as collectively made in ways that do not necessarily impose normative agendas/regulatory conditionalities. Social liberations are examined in the transformation of everyday encounters without conforming to hegemonies or making 'normal' our own. Whilst the focus is sexual and gender liberations, the project will enable considerations of others social differences. It will show how places produce differential liveabilities both where legislative change has been achieved and where it has just been repealed. Thus, the project offers academic and policy insights into safety, difference and vibrant and fair societies. Mixed-methods data generation via: a) Project workshops in the UK (including free writing; collage-making; timeline creation; local, national and global mapmaking; recorded individual interviews; recorded group discussions). b) Project workshops in India (including free writing; collage-making; timeline creation; individual written questionnaires; recorded group discussions). c) Individual In-Depth Interviews (IDIs) in India. d) Online surveys for registered members of Liveable Lives website. e) Bulletin board discussions for registered members of Liveable Lives website.

Dataset for the following study: Questions remain about what particular dimensions of social media use may be deleterious and for whom. Within a sample of young adults (n= 199) between the ages of 18 to 22 (M = 19.67, SD = 2.139), this investigation examined frequency of consumption of negative social media content and anxiety, depression, self-esteem, and body satisfaction. Only high exposure to negative social media content was associated with poorer wellbeing. Significant interaction effects predicting self-esteem suggest possible differences in these associations as a function of race; with Latinx and black participants reporting low levels of self-esteem when engaging with high negative media content. With regard to gender identity, cisgender women, and people with a non-binary or trans gender identity who engaged frequently with SNSs reported lower body satisfaction compared to cisgender men. Implications for future work are discussed.

Human sexuality is a complex reality, characterised by gender identity and sexual orientation. A widespread approach to study human sexuality is to compare groups with opposite sexual gender identity and sexual orientation such as cisgenders vs transgenders and heterosexuals vs homosexuals. Cisgenderism refers to individuals whose sense of gender identity corresponds to their natal sex, while transgenderism is characterized by an incongruity between biological sex and psychological gender with cross-gender identification. Heterosexuality refers to those who feel an emotional, romantic or sexual attraction towards the opposite sex, while homosexuality is characterized by an emotional, romantic or sexual attraction towards same sex individuals. Neuroimaging studies have found brain differences between these groups of individuals. Nevertheless, their results are conflicting, and limitations such as small samples' sizes and the considerable overlap between such groups, makes it difficult to draw accurate conclusions. This systematic review and meta-analysis explored structural, functional and metabolic features of the 'cisgender brain' compared with the 'transgender brain' before hormonal treatment and the 'heterosexual brain' compared to the 'homosexual brain' from the analysis of the neuroimaging literature. Processing the information that conform this dataset suggests that neuroanatomy, neurophysiology and neurometabolism in transgenders resemble those of their natal sex rather than those of their experienced gender and in homosexuals these resemble those of their same sex heterosexual population rather than their opposite sex heterosexual population. However, the small number of studies that contributed data, their small sample size, the incompleteness of the data, and the heterogeneity of the investigations that were included in this systematic review do not allow drawing general conclusions. This dataset contains all data extracted from the publications included, as well as the search strategy and the results of processing the information extracted from the articles

This data set includes tables on persons living with HIV/AIDS, newly diagnosed HIV cases and all cause deaths in HIV/AIDS cases by gender, age, race/ethnicity and transmission category. In all tables, cases are reported as of December 31 of the given year, as reported by December 31, 2024, to allow a minimum of 12 months reporting delay. Gender is determined by both current gender and sex at birth variables; transgender values are assigned when current gender is identified as "Transgender" or when a discrepancy is identified between a person's sex at birth and their current gender (e.g., cases where sex at birth is "Male" and current gender is "Female" will become Transgender: Male to Female.) Prior to 2003, Asian and Native Hawaiian/Pacific Islanders were classified as one combined group. In order to present these race/ethnicities separately, living cases recorded under this combined classification were split and redistributed according to their expected proportional population representation estimated from post-2003 data.

This collection comprises mixed-methods data from a study exploring the use of abusive behaviours by partners in same-sex, bisexual and/or transgender relationships and practitioners' accounts of and perspectives on developing suitable and inclusive interventions for, and responses to, perpetrators of domestic violence and abuse in same-sex, bisexual and/or transgender relationships. In recent years in the UK there has been recognition that domestic violence and abuse (DVA) takes place in same-sex, bisexual and/or transgender relationships and a parallel and emerging body of research which has begun to explore and develop understandings about how and why this occurs, and whether and how victim/survivors seek help. However, despite this growing literature, there has been no dedicated research on those who are the abusive partners in same-sex, bisexual and/or trans relationships, and consequently there has been little evidence to inform the development of services to address their behaviours. This study, which we have named the Coral Project, is the first UK study to collect data specifically about the perpetration of violent and abusive behaviours in lesbian, gay, bisexual and/or transgender (LGB and/or T) relationships. The aims of the Coral Project were to: explore similarities and differences across sexuality and gender of those who enact ‘abusive’ behaviours in LGB and/or T and heterosexual relationships; do this with those who have enacted ‘abusive’ behaviours as well as practitioners who provide interventions for predominantly heterosexual male perpetrators; explore what methods might work best to elicit data to address these aims; and share key findings with key stakeholders to develop best practice guidance for work with those who use ‘abusive’ behaviours in LGBT relationships. A mixed-methods approach was taken in order to gather both quantitative and qualitative data about the use of abusive behaviours in same-sex, bisexual and/or transgender relationships through a national online survey and follow-up in-depth interviews with volunteers from the survey, respectively. Semi-structured interviews and focus groups with practitioners were also conducted in order to elicit practitioners’ understandings of the use of abusive behaviours within LGB and/or T relationships and their views on the suitability of existing domestic violence perpetrator interventions (designed primarily for heterosexual men) for addressing the abusive behaviour of LGB and/or T individuals, as well as what to find out about the nature of any current provision for LGB and/or T perpetrators and barriers to developing LGB and/or T interventions. This is a mixed-methods study involving a quantitative survey (n=872), individual interviews with selected survey respondents (n=36), interviews with practitioners involved in the design and delivery of services for domestic violence and abuse perpetrators (n=23), and focus groups with practitioners in a range of field including domestic violence services, LGBT support services, relationship support and counselling and education (n=8).

Abstract copyright UK Data Service and data collection copyright owner. This research project examined the experiences of Irish lesbian, gay, bisexual and transgendered (LGBT) people living in London. There is a long history of Irish migration to the UK, particularly London. This has coincided historically with many Irish LGBT people feeling compelled to emigrate in search of a more supportive social climate. The appeal of global cities to LGBT people has long been acknowledged. Metropolitan centres are associated with tolerance of sexual diversity and established queer communities. This study will explore Irish queer migrants' reasons for moving to London and experiences there. The research questions will focus on notions of home, identity, belonging, familial relationships and subjectivity. By exploring the relationship between sexuality, ethnicity and diaspora, the study intended to uncover the ways in which contemporary sexual citizenship, migration and queer imaginaries of the metropolis are mutually implicated in complex ways. A qualitative dataset is produced containing interviews with 38 Irish LGBT participants who have been living in London for at least five years. In addition to generating new theoretical work on sexuality and migration, the research findings will be used to inform policy and debate regarding processes of social exclusion. Volunteer sample Face-to-face interview focus group

This is a search hedge for identifying transgender and gender nonconforming individuals in the medical literature. This search hedge is NOT validated. The notes field contains the Ovid search for Medline. The file in this dataset contains the full MEDLINE (Ovid), Embase (OVID), PsycInfo (OVID) and CINAHL (Ebsco) searches (2024-10-30)

Univariate tests results.