About this dataset

Context

The dataset tabulates the Gay population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Gay across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Gay was 116, a 4.13% decrease year-by-year from 2022. Previously, in 2022, Gay population was 121, an increase of 5.22% compared to a population of 115 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Gay decreased by 37. In this period, the peak population was 153 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Gay is shown in this column.
• Year on Year Change: This column displays the change in Gay population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Gay Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Gay by race. It includes the population of Gay across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Gay across relevant racial categories.

Key observations

The percent distribution of Gay population by race (across all racial categories recognized by the U.S. Census Bureau): 60.48% are white, 38.71% are some other race and 0.81% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Gay
• Population: The population of the racial category (excluding ethnicity) in the Gay is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Gay total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Gay Population by Race & Ethnicity. You can refer the same here

Objective. Support for gay rights has increased in the publics of many countries over recent decades, but the scholarship on the topic has been hindered by the limited available data on these trends in public opinion. The goal of the Support for Gay Rights (SGR) dataset is to overcome this problem. Method. The SGR dataset is constructed by combining a comprehensive collection of survey data with a latent-variable model to provide annual time-series estimates of public support for gay rights across 118 countries and over as many as 51 years that are comparable across space and time. Results. We show these data perform well in validation tests and demonstrate their potential by replicating the influential but recently questioned finding of Andersen and Fetner (2008) that more income inequality yields less tolerant and supportive attitudes toward gay people. Conclusion. We anticipate that the SGR data will become a crucial source for cross-national, cross-regional, and longitudinal research that improves our understanding of the sources and consequences of public support for gay rights.

The EU Lesbian, Gay, Bisexual and Transgender Survey (EU LGBT) was conducted by the European Union Agency for Fundamental Rights (FRA). It is the first ever EU-wide online survey to establish an overview concerning the lives of lesbian, gay, bisexual and trans people (18 years or older) and their experiences with regard to fundamental rights in the 28 EU Member States. Up until now, there has been very little comparable data collected across the EU about the everyday experiences of LGBT people with respect to discrimination, and lot of the available information is limited to occasional news reports and court judgements. As the first EU-wide survey of its kind, the results support the development of equal treatment policies for LGBT people in the European Union and set the agenda for years to come. Based on the survey results, national and European policy makers, as well as non-governmental organisations, are able to better target their advocacy strategies and activities to support LGBT communities to live and express themselves freely in a non-discriminatory environment. The survey was completely anonymous (no additional data on the participants and their sessions were logged in any way). The survey data collection operated by Gallup Europe, a professional survey and consultancy firm. In order to ensure that the survey delivers evidence needed for policy making, the EU LGBT Survey counted on the participation of a large and diverse group of lesbian, gay, bisexual and trans people from each country. Hence, it was vitally important for the success of the survey that FRA and Gallup worked together with civil society organisations to reach a wide audience and raise awareness concerning the survey, including participants emailing the survey, sharing it through social media or simply inviting LGBT friends to take part. More information can be found on the FRA website The data represents a self-selected sample and not a random sample. Please see technical report for details on data collection and dissemination of survey to potential respondents. Web-based survey

Sexual identity estimates by occupation 2014. This is presented at a UK level, and broken down by England, Wales, Scotland and Northern Ireland.

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.

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

About this dataset

Context

The dataset tabulates the Gay Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Gay, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Gay.

Key observations

Among the Hispanic population in Gay, regardless of the race, the largest group is of Mexican origin, with a population of 48 (100% of the total Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Gay
• Population: The population of the specific origin for Hispanic or Latino population in the Gay is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Gay total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Gay Population by Race & Ethnicity. You can refer the same here

SPSS Dataset and Codebook for survey of LGBT people conducted December 22, 2021 - January 17, 2022. The survey was approved by California Polytechnic State University IRB on November 14, 2021. IRB #2021-221-OL. Funding to conduct this survey was awarded through the California Polytechnic State University Research Scholarly and Creative Activities (RSCA) Grant Program administered by the Cal Poly division of Research, Economic Development & Graduate Education. The material contained in this collection include an anonymized dataset and codebook, a methodological appendix, statistical appendix, and supplemental online appendix for the book Yes Gawd! How Faith Shapes LGBT Identity and Politics (Temple University Press).

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.Only residents age 16+ were asked this question. Residents age 15 or less are not included in the data.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/censusproductsSexual OrientationThis dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales by sexual orientation. The estimates are as at Census Day, 21 March 2021. This dataset includes information for Leicester City and England overall.Definition: Classifies people according to the responses to the sexual orientation question. This question was voluntary and was only asked of people aged 16 years and over.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Gay by race. It includes the distribution of the Non-Hispanic population of Gay across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Gay across relevant racial categories.

Key observations

Of the Non-Hispanic population in Gay, the largest racial group is White alone with a population of 75 (98.68% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Gay
• Population: The population of the racial category (for Non-Hispanic) in the Gay is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Gay total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Gay Population by Race & Ethnicity. You can refer the same here

The LGBT+ Networks data consists of 9 case studies of LGBT+ employee networks in the NHS (located in England, Scotland and Wales) and 118 short video clips from LGBT+ people and their allies. Qualitative data form the case studies was collected from September 2017 to October 2019. Each case study comprises transcripts from network meetings (38) and transcripts from interviews (65) with network chairs, network members, allies, EDI/HR representatives and chief executive officers in organisations. The short video clips (118) were recorded in a custom-made video booth located in 8 different organisations during LGBT+ history month in February 2020.This research aims to offer better understanding of how lesbian, gay, bisexual and transgender (LGBT+) employee networks are run and what they can do to improve relationships between colleagues, and ultimately, improve the wellbeing of LGBT+ employees. In doing so, the research focuses on LGBT+ employee networks within the NHS in nine different institutions by administering surveys, interviewing network members and taking part in network activities. To achieve our research aims, the following objectives have been set: 1) Establish baseline understanding of how LGBT+ employee networks operate; 2) Map network membership and explore ways of addressing insufficient representation of different groups with the networks; 3) Explore what support is in place to archive networks' vision and what barriers exists to realise this vision; 4) Examine ways of using LGBT+ employee networks to address negativity towards gender and sexual minorities more effectively. Case studies (9) were selected to ensure diversity in organisation type, location and performance on the Stonewall UK Workplace Equality Index. The sample included two community and mental health services trusts; two mental health trusts; two acute teaching hospital trusts; one service provider; an ambulance trust and a health board. Some of the organisations were located in large cities and others in semi-rural areas. There was also a range in geographical coverage. Three of the case study networks were from organisations that were placed relatively high on the 2017 Stonewall Index, three were placed lower, and three had not submitted an application to the index that year. Each case study comprised of interviews and records of LGBT+ networks activities/meetings. A total of 66 individuals were interviewed. Among these were 45 members, five HR representatives, eight EDI representatives and eight eight chief executives. In terms of our network members, we attempted to make our interviewee sample as close to being fully representative as possible. EDI, HR and Chief executives were selected on the basis of their roles. The data includes transcripts of 38 network meetings. In addition 118 short video messages were recorded in a Video Booth by individuals attending events during LGBT+ history month in 2020.

Cities are in constant competition for residents, businesses, and employees, and inclusiveness is a crucial factor that attracts all three. The Municipal Equality Index (MEI) specifically measures laws and policies of municipalities to examine how inclusive cities are of LGBTQ (Lesbian, Gay, Bisexual, Transgender, and Questioning) people.Administered by the Human Rights Campaign, the MEI scorecard criteria annually evaluate a municipality on six categories, with bonus points available: Non-Discrimination Laws: This category evaluates whether discrimination based on sexual orientation and gender identity is prohibited by city, county, or state in areas of employment m housing, and public accommodations.Relationship Recognition: Marriage, civil unions, and comprehensive domestic partnerships are matters of state policy; cities and counties have only the power to create domestic partner registries.Municipality as Employer: By offering equivalent benefits and protections to LGBTQ employees, and by awarding contracts to fair-minded businesses, municipalities commit themselves to treating LGBTQ employees equally.Municipal Services: The section assesses the efforts of the city to ensure LGBTQ constituents are included in city services and programs.Law Enforcement: Fair enforcement of the law includes responsible reporting of hate crimes and engaging with the LGBTQ community in a thoughtful and respectful way.Relationship with the LGBTQ Community: This category measures the city leadership’s commitment to fully include the LGBTQ community and to advocate for full equality. Additional information available at hrc.org/meiThis page provides data for the Municipality Equality Index performance measure. The performance measure dashboard is available at 3.12 Municipal Equality Index. Additional Information Source: Contact: Wydale HolmesContact E-Mail: wydale_holmes@tempe.govData Source Type: ExcelPreparation Method: Publish Frequency: Annually, OctoberPublish Method: ManualData Dictionary

Name: LGBTQIAphobia_dataset_augmented_balanced
Description: Labeled dataset with phrases retrieved from different digital sources (X/twitter, Instagram, TikTok) containing diverse messages directed towards the LGBTQIA+ community. It has 1000 phrases classified as {Non-LGBTQIAphobic (0), LGBTQIAphobic (1)} . It is the balanced version of LGBTQIAphobia_dataset_augmented.
Language: Spanish
Format: CSV (UTF-8)
Structure: id; phrase; class {0,1}
Purpose: Be used for fine-tuned models that detect language offensive to Spanish or Latin LGBT communities in digital environments.
Sources: X/Twitter, Instagram, TikTok, Youtube comments
Size: 20Kb
Ethical considerations: This dataset was created strictly for academic and research purposes. We oppose any type of digital violence, in this case, against the LGBTQIA+ community. The person who was the target of the hate speech has been anonymised, and there is no intention to harm them in any way, either them or the person who delivered the speech. We prioritise the protection of the privacy and confidentiality of vulnerable individuals. To safeguard privacy, we carefully remove any identifying details, such as user IDs, phone numbers, and addresses, before sharing the data with our annotators. All the data we collect is from publicly available sources and does not contain any personal or sensitive information that may jeopardise anyone’s privacy. I request researchers to commit to abiding by ethical guidelines so as not to unnecessarily harm individuals.
¿How was it created?
- Starting recovery of discriminatory phrases for the LGBTQIA+ community from X/Twitter, Instagram, and Tiktok (197 phrases).
- Labelling by 3 raters as non-LGBTphobic (0) and LGBTphobic (1).
- Text augmentation was applied through backtranslation and random synonym replacement.
- Translating to Spanish part of McGiff, J., & Nikolov, N. S. (2024) dataset and was added under licence CC-BY-4.0
- To balance the majority class, we applied the undersampling technique.
- Finally, we obtained 1000 tagged phrases for version 1.0.2 of LGBTQIAphobia_augmented_balanced

Class distribution

class

 instances

0

513

1

487

where class is
0: non-lgbtphobic
1: lgbtphobic

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.

This project uses data on same-gendered households (via the 2016 Australian Census) and cohabitation rates (via behavioural population surveys) to estimate the total number and prevalence of gay men and lesbian women living across Australia and in each postcode. The data and code for generating relevant outputs and analyses are contained here.(i) Stock datasets [Files: remoteness2012.dta; postcode_clusters.dta] This item contains files required to organize the Australian Census data: (i) the 'remoteness' classifications per the Australian Statistical Geography Standard (Australian Bureau of Statistics, 2011), and (ii) clustering of those postcodes with base total populations of less than 200 people. The clustering process was undertaken manually by reviewing postcodes in that bracket and combining them with neighboring postcodes within the same jurisdictions and remoteness classification until the threshold of 200 was met. Preference was given for clustering postcodes that shared the largest geographic border and/or with the smallest population sizes.(ii) Underlying datasets [Files: pop_sex_0-9.xlsx; pop_sex_10-19.xlsx; pop_sex_18.xlsx; pop_sex_19.xlsx; pop_sex_20-24.xlsx; pop_sex_25-29.xlsx; pop_sex_all.xlsx; ss_couples_all.xlsx]This item contains tables created by and extracted from the Australian Bureau of Statistics 'TableBuilder' platform, which allows access to and organization of aggregate data from the 2016 Australian Census. The tables exist in two groups (i) total number of Census participants, stratified by postcode, age group and gender, and (ii) total number of same-gendered households, stratified by postcode and gender.(iii) Organizational code [File: generate dataset and analysis.do]This file contains the code (Stata, version 15.0) to organize the 'underlying datasets' and combine them with information collated from behavioral survey data. To account for remoteness classification via the Australian Statistical Geography Standard, it merges by postcode on a separate 'stock dataset' (remoteness2012). To account for clustering of postcodes with small overall populations, it merges by postcode on a separate 'stock dataset' (postcode_clusters). The code additionally produces outcomes of descriptive analyses and relevant tables, and generates a final dataset of, by-postcode, population sizes and prevalences.(iv) Final dataset [File: Appendix B - dataset.xlsx]This final dataset contains organized, merged and interpreted outcomes, presented as variables of, by-postcode, the estimated absolute number and prevalence of gay men and lesbian women in Australia. A data dictionary is included.

Es handelt sich um eine groß angelegte Umfrage über Erfahrungen und Ansichten von lesbischen, schwulen, bisexuellen, trans und intersexuellen Personen. Die Umfrage ermöglicht vergleichende Untersuchungen dazu, wie LGBTIQ-Personen in der EU sowie in Ländern, die der EU beitreten wollen Diskriminierung, Gewalt und Belästigung in verschiedenen Lebensbereichen wie Beschäftigung, Bildung, Gesundheitswesen, Wohnungswesen und anderen Dienstleistungen erleben. It is a large-scale survey on the experiences and views of lesbian, gay, bisexual, trans and intersex people. The survey provides comparative research on how LGBTIQ people in the EU and in countries wishing to join the EU experience discrimination, violence and harassment in different areas of life such as employment, education, healthcare, housing and other services.

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).

Context

Rainbow Europe brings together both the legal index of LGBTI equality based on our Rainbow Europe Map and an overview of the social climate for LGBTI people in each country based on our Annual Review of the Human Rights Situation of Lesbian, Gay, Bisexual, Trans and Intersex People. Rainbow Europe ranks all 49 European countries on a scale between 0% (gross violations of human rights, discrimination) and 100% (respect of human rights, full equality). -From https://www.rainbow-europe.org/about

Content

This dataset contains all of the laws, policies and other deciding factors that Rainbow Europe uses to calculate their index, and whether they are applied in each country. It also contains the score contributions applied to calculate the index.

Score

Rainbow Europe weighs the conditions to get a 0-100% scale. The weights and criteria are on their "about page" linked above. The score percent field contains the weightings if the condition is applied, and 0 if it's not.

Update Frequency

I aim to update the dataset roughly at the end of each year and keep the previous versions to document the progress of LGBTQ+ rights in Europe.

Quick Reminder

Upvote if you like this dataset or find it useful!

IntroductionThe lesbian, gay, bisexual, and transgender (LGBT) people often face unique medical disparities, including obstacles to accessing adequate and respectful care. The purpose of this study was to test the psychometric properties(internal consistency, reliability, and factor structure) of the Polish-language version of the Gay Affirmative Practice Scale (GAP-PL).MaterialThe study was conducted over a 6-month period in 2023, from February to June, involving 329 medical students and professionals who evaluated the GAP-PL.MethodsBefore testing the psychometric properties of the original Gay Affirmative Practice Scale (GAP), it was translated and adapted from the original English language version into the Polish language. Authors then tested the psychometric properties of the tool on a sample of 329 participants. The internal coherence of the questionnaire was tested with the analysis of verifying factors (Confirmatory Factor Analysis). Cronbach alpha and the discriminatory power index were used as internal consistency measures.ResultsThere were more female than male participants (55.32%). More than 53% of the participants were heterosexual, and the average age of the respondents was ~30 years. The internal consistency of the Polish-language version and its domains was strong with the overall Cronbach's alpha ranges for each subscale domains ranging between 0.936 and 0.949. The McDonald's omega coefficient was 0.963.ConclusionThe GAP-PL has excellent properties of factorial validity and can be used in research and clinical practice in Polish-speaking populations.