From the project website: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/FXXLTS

To what extent do countries protect the rights of transgender people? How does this differ from legal protections countries offer sexual orientation minorities? What conditions are beneficial for advancing trans rights? Limitations in data availability and accessibility make answering these types of trans-specific questions difficult. To address this shortcoming, this article introduces a new dataset. The Trans Rights Indicator Project (TRIP) provides insight into the legal situations transgender people faced in 173 countries from 2000 to 2021. The dataset currently includes 14 indicators that capture the presence or absence of laws related to criminalization, legal gender recognition, and anti-discrimination protections. The article then uses this data to discuss the global status of transgender rights throughout the period and compares these trends to sexual orientation rights. Finally, the article concludes with a preliminary analysis of three institutional and cultural factors that may help explain variation in transgender rights throughout the world.

To what extent do countries protect the rights of transgender people? How does this differ from legal protections countries offer sexual orientation minorities? What conditions are beneficial for advancing trans rights? Limitations in data availability and accessibility make answering these types of trans-specific questions difficult. To address this shortcoming, this article introduces a new dataset. The Trans Rights Indicator Project (TRIP) provides insight into the legal situations transgender people faced in 173 countries from 2000 to 2021. The dataset currently includes 14 indicators that capture the presence or absence of laws related to criminalization, legal gender recognition, and anti-discrimination protections. The article then uses this data to discuss the global status of transgender rights throughout the period and compares these trends to sexual orientation rights. Finally, the article concludes with a preliminary analysis of three institutional and cultural factors that may help explain variation in transgender rights throughout the world.

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).

Abstract Purpose To assess the clinical characteristics of subjects with gender dysphoria (GD). Method A cross-sectional study of adults with GD. Symptoms of anxiety and depression were measured using the Hospital Anxiety and Depression Scale (HADS). Sociodemographic data, clinical data and life habits were recorded. Results Total of 44 subjects participated in the study: 36 (82%) trans women and 8 (18%) trans men. Forty-three (98%) of the GD patients had anxiety (36 [100%] trans women and 7 [87.5%] trans men), and 36 (82%) had depression (29 [80.5%] trans women and 7 [87.5%] trans men). Suicide had been attempted by 32 (73%) subjects. The rates of depression were lower among the subjects living with partners, parents, or other people than among those living alone (p = 0.03), and it was also lower among the subjects who were married compared to those who were dating or single (p = 0.03). Conclusion Improving the relationship status may reduce the prevalence of depressive symptoms in GD patients. There was a high rate of attempted suicide in this sample.

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.

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.

This dataset comprises three distinct categories: men, women, and transgender individuals. To enhance its utility and ensure comprehensive representation, we plan to expand each category by adding a substantial number of images. Our goal is to create a large-scale, open-source dataset designed for widespread use across diverse AI applications. This expansion will not only improve the dataset's inclusivity and diversity but also enable the development of more robust and equitable AI systems. By making this enriched dataset openly accessible, we aim to foster collaboration and drive advancements in creating fair and representative AI solutions.

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.

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.

Population size estimates of transgender women and transgender men in Bhutan, 2020.

A worldwide project started in April 2009 called the Transgender Murder Monitoring Project (TMM) reported that 180 killings occurred between November 2009 and November 2010. Since January 2008, a total of 487 transgender people have been reported murdered. The TMM 2010 report broke down the murders in 19 countries. The majority happened in Brazil (91), Guatemala (15), Mexico (14), and the USA (14). (Source: Transgender Murder Monitoring Project. Regionally, the Belizean transgendered community has been continuously overlooked; they are invisible in the National Strategic Plan of 2006-2011. Funding received by the country for HIV/AIDS and outreach programs rarely reaches the transgender community because the system does not see the population as sufficiently large enough to make investments.The purpose of the research is to create a profile of transgender needs in the Belizean context; this report will feed into a larger effort for a region-wide advocacy plan that will be implemented by CRTA. The significance of the effort may lead to future planning around resource mobilization, capacity building and advocacy.

Objective: Sexual orientation is usually considered to be determined in early life and stable in the course of adulthood. In contrast, some transgender individuals report a change in sexual orientation. A common reason for this phenomenon is not known. Methods: We included 115 transsexual persons (70 male-to-female “MtF” and 45 female-to-male “FtM”) patients from our endocrine outpatient clinic, who completed a questionnaire, retrospectively evaluating the history of their gender transition phase. The questionnaire focused on sexual orientation and recalled time points of changes in sexual orientation in the context of transition. Participants were further asked to provide a personal concept for a potential change in sexual orientation. Results: In total, 32.9% (n = 23) MtF reported a change in sexual orientation in contrast to 22.2% (n = 10) FtM transsexual persons (p = 0.132). Out of these patients, 39.1% (MtF) and 60% (FtM) reported a change in sexual orientation before having undergone any sex reassignment surgery. FtM that had initially been sexually oriented towards males ( = androphilic), were significantly more likely to report on a change in sexual orientation than gynephilic, analloerotic or bisexual FtM (p = 0.012). Similarly, gynephilic MtF reported a change in sexual orientation more frequently than androphilic, analloerotic or bisexual MtF transsexual persons (p = 0.05). Conclusion: In line with earlier reports, we reveal that a change in self-reported sexual orientation is frequent and does not solely occur in the context of particular transition events. Transsexual persons that are attracted by individuals of the opposite biological sex are more likely to change sexual orientation. Qualitative reports suggest that the individual's biography, autogynephilic and autoandrophilic sexual arousal, confusion before and after transitioning, social and self-acceptance, as well as concept of sexual orientation itself may explain this phenomenon.

This is a dataset on anxiety and depression among the transgender community in Vietnam. The study employed a convenience sampling method to recruit participants. A total of 372 survey responses were collected, of which 347 were valid, representing transgender and gender-diverse individuals residing in Vietnam (47% were assigned male at birth; ages 16-44, M = 23.87, SD = 4.97). The dataset includes 12 variables, consisting of demographic variables and independent variables such as experiences of daily discrimination, internalized stigma, and transgender resilience. The dependent variables include depression and anxiety.

research data of the work

This report sheds light on issues faced by Transgender persons confined in Indian prisons. Through an analysis of the international and domestic legal frameworks, and the information received from 34 States/UTs, it provides relevant information on compliance within prisons with existing legal frameworks relevant to protecting the rights of Transgender persons in prisons, especially in terms of recognition of a third gender, allocation of wards, search procedures, efforts towards capacity building of prison administrators etc.

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.

This report sheds light on issues faced by Transgender persons confined in Indian prisons. Through an analysis of the international and domestic legal frameworks, and the information received from 34 States/UTs, it provides relevant information on compliance within prisons with existing legal frameworks relevant to protecting the rights of Transgender persons in prisons, especially in terms of recognition of a third gender, allocation of wards, search procedures, efforts towards capacity building of prison administrators etc.

This dataset comprises geospatial information on health and support services for transgender and gender diverse people in New York City. It was extracted in June 2019 from the online tool 'TransAtlas' (https://transatlas.callen-lorde.org/). These data were used to conduct an analysis of service distribution, the citation for which is provided below. Callander D, Kim B, Domingo M, Tabb LP, Radix A, Timmins L, Baradaran A, Clark MB, Duncan DT. Examining the geospatial distribution of health and support services for transgender, gender non-binary, and other gender diverse people in New York City. Transgender Health; 2021, online first.

This study explores the complex individual and social challenges faced by transgender individuals in Iran after undergoing gender reassignment surgery. Using a qualitative phenomenological approach, the research focuses on the lived experiences of 10 participants, uncovering themes such as personal struggles, family dynamics, social isolation, psychological impacts, and the need for continuous support. The data, collected through in-depth semi-structured interviews, reveals that while individuals report personal growth and increased satisfaction post-surgery, they continue to encounter significant emotional, social, and legal barriers. The findings underscore the importance of providing comprehensive psychological, medical, and social support systems to facilitate the well-being and integration of transgender individuals into society.

The Transgender Archives at the University of Victoria Libraries is home to the world's largest collection of materials related to the history of Trans+ activism. Since 2017, the Mapping Transgender Activism Project has been a partnership between UVic's Chair in Transgender Studies and UVic Libraries. The project has involved undergraduate and graduate student interns using pre-defined methodologies to read, review, and analyze rare periodicals catalogued by UVic Libraries dating from 1960 onwards. The project records historically important datapoints that appear in each periodical document, including names, dates, events, keywords, and locations, in addition to other textual data. The data is grouped into three main categories: "Issues," "Articles," and "Events." The top category is "Issues." All "Articles" and "Events" data correspond with the "Issues" file. Due to the COVID-19 global pandemic, the internship moved online during 2020-2021, resulting in some Transgender Archives material being accessed through the Digital Transgender Archive. The "DTA links" file lists these issues and links. The "Issue Cover Scans" file includes scanned cover images of all indexed issues. Each data file includes a "Data Dictionary" file providing full details. These files are open to review. Data files are restricted and access is provided upon request After submitting your request for access, your request will be reviewed by the office of the Chair in Transgender Studies. Afterwards, we will respond within a few business days. If you have any questions, please email transarc@uvic.ca