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

Sexual orientation in the UK by region, sex, age, legal partnership status, and ethnic group. These are official statistics in development.

LGBT+ rights are human rights that all lesbian, gay, bisexual, transgender and other people outside traditional sexuality and gender categories have. But in practice, these rights are often not protected to the same extent as the rights of straight and cisgender people.

Among others, LGBT+ rights include: physical integrity rights, such as not being executed for their sexuality or gender and not being subjected to conversion therapies; social rights, such as changing their legal gender, being sexually intimate, marrying, and adopting children with people of the same sex; economic rights such as not being discriminated at work; and political rights, such as being able to advocate for themselves and their communities publicly.

The protection of these rights allows LGBT+ people to live the lives they want and to thrive in them.

On this page, you can find data and visualizations on how the protection of LGBT+ rights has changed over time, and how it differs across countries.

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

1Denominators for individual variables may differ from the grand total due to some missing responses.Note; Highlighted in bold are variable categories where the crude estimates fall outside the asymptotically unbiased estimates of the 95% bootstrapped confidence intervals.Estimated population prevalence of socio-demographic and behavioural factors among gay men: CONNECT I study (estimates derived using respondent-driven sampling).

The dataset mainly focuses on community perception and relationship forms among gay, bi- sexual and queer men, but also offers other insights into their living conditions and values.

The data is accompanied by the following documents: - A codebook in Excel format showing all the questions, variables and answering options - A technical report by the Data Steward Service at the ZHAW regarding how the dataset was cleaned prior to publication - A technical report on the survey and characterisation of the sample (German)

LGBT+ rights are human rights that all lesbian, gay, bisexual, transgender and other people outside traditional sexuality and gender categories have. But in practice, these rights are often not protected to the same extent as the rights of straight and cisgender people.

Among others, LGBT+ rights include: physical integrity rights, such as not being executed for their sexuality or gender and not being subjected to conversion therapies; social rights, such as changing their legal gender, being sexually intimate, marrying, and adopting children with people of the same sex; economic rights such as not being discriminated at work; and political rights, such as being able to advocate for themselves and their communities publicly.

The protection of these rights allows LGBT+ people to live the lives they want and to thrive in them.

On this dataset, you can find data and visualizations on how the protection of LGBT+ rights has changed over time, and how it differs across countries.

Original data

Acknowlegement

Foto von Jiroe (Matia Rengel) auf Unsplash

About this dataset

Context

The dataset tabulates the Gay population by age. The dataset can be utilized to understand the age distribution and demographics of Gay.

Content

The dataset constitues the following three datasets

• Gay, GA Age Group Population Dataset: A complete breakdown of Gay age demographics from 0 to 85 years, distributed across 18 age groups
• Gay, GA Age Cohorts Dataset: Children, Working Adults, and Seniors in Gay - Population and Percentage Analysis
• Gay, GA Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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/.

An induction of disgust can lead to more negative attitudes toward an entire social group: Participants who were exposed to a noxious ambient odor reported less warmth toward gay men. This effect of disgust was equally strong for political liberals and conservatives, and was specific to attitudes toward gay men—there was only a weak effect of disgust on people's warmth toward lesbians, and no consistent effect on attitudes toward African Americans, the elderly, or a range of political issues.

The European Union Fundamental Rights Agency (FRA) ran the largest survey of its kind in 2020. The aggregated data (i.e. answers are shown by group without any individual information) was made public and available on their site.

Content Below are the column labels and what they mean: CountryCode - country. target_group - Lesbian women, Gay men, Bisexual women, Bisexual men, Trans people, Intersex people or "All" subset - additional filter. In the trans subgroup file, this includes trans men, trans women, non-binary people etc. question_code - unique label for each question in the survey. question_label - text of the question. answer - could be unique or allow multiple selections. percentage - percentage of people who selected each answer to a question.

Notes ‡ - Data was flagged due to the small number of respondents (20-49) [1] - Data was deemed unusable due to the small number of respondents (<20)

Extra Viz I made with the Discrimination and Daily Life datasets https://public.tableau.com/app/profile/m.mariano/viz/DiscriminationoftranspeopleinEurope/Dashboard1?publish=yes

Coming soon Dataset grouped by age, education, employment status etc.

Feel free to reach out if you'd like to help or have some feedback!

The survey asked lesbian, gay, bisexual and transgender (LGBT) people whether they had experienced discrimination, violence, verbal abuse or hate speech on the grounds of their sexual orientation or gender identity. The results reflect the experiences of more than 93,000 individuals who completed the online survey across Europe.

Context

Every year, along with the State-Sponsored Homophobia report, ILGA World publishes also maps of sexual orientation laws in the world.

https://ilga.org/maps-sexual-orientation-laws

Content

A useful tool for LGB human rights defenders, these images expose the arbitrariness of persecutory laws, and starkly indicate the absence of positive law in most parts of the world.

https://ilga.org/maps-sexual-orientation-laws

Acknowledgements

https://ilga.org/maps-sexual-orientation-laws

Photo by Sharon McCutcheon on Unsplash

Inspiration

LGBTQIA community.

"The negative attitudes and feelings toward homosexuality or people who are identified or perceived as being lesbian, gay, bisexual or transgender (LGBT). The prejudice, aversion, hatred or antipathy, may be based on irrational fear and ignorance, and is often related to religious beliefs against LGBTQIA community." https://en.wikipedia.org/wiki/Homophobia

Historical Dataset of William Gay Ec Center is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1987-2023),Student-Teacher Ratio Comparison Over Years (1987-2023),American Indian Student Percentage Comparison Over Years (1991-2023),Asian Student Percentage Comparison Over Years (1988-2023),Hispanic Student Percentage Comparison Over Years (1992-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1992-2023),Reduced-Price Lunch Eligibility Comparison Over Years (1999-2014)

This dataset tracks annual american indian student percentage from 1991 to 2023 for William Gay Ec Center vs. Oklahoma and Mcalester School District

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 This article discusses the adoption of the abbreviation LGBT (lesbian, gay, bisexual, transvestite, and transsexual), questioning the representativeness of the groups contained in this acronym in Administration research. Some authors in Brazil state that, although there is the intention to construct a field of research on the subject, the agenda is mostly aimed at research on gay people (CARRIERI, SOUZA and AGUIAR, 2014). Therefore, the research question is: Is it possible to treat identity categories that are so different under the same prism? The article is grounded on (1) a historical version of the constitution of LGBT groups, showing how they are organized and fragmented in Brazil (FACCHINI, 2005); (2) a discussion on the adoption of the LGBT acronym as a universal category, based on the debate about contingent identities (BUTLER, 1998); (3) a literature review of Brazilian Administration using the SPELL database. A total of 34 articles approaching LGBT groups were found. Research on gays predominates while groups of lesbians, transvestites, and transsexuals are underrepresented. It is perceived that, although there are similarities from the point of view that all the identity categories are targets of discrimination and violence (which is justified because they are categories considered deviant), the articles mark the differences between them. It is in these differences that there are possibilities for Administration research to question the adoption of acronyms, such as LGBT, as a universally representative and unified concept.

Background: Gay, bisexual, and other men who have sex with men (GBM) experience systemic marginalization and many barriers to healthcare, leading to significant healthcare disparities. It was unknown if they were more vulnerable to COVID-19, and if a failure to respond to their unique physical and mental health needs would exacerbate existing health disparities. The Engage-COVID-19 study leveraged the larger Engage Cohort Study conducted by researchers studying HIV and sexual health among GBM based at Canadian universities, public health, and community organizations. Aims of the CITF co-funded study: The study aimed to identify biomedical, behavioural, and psychosocial risk factors for contracting COVID-19, document SARS-CoV-2 immunity in HIV positive and negative participants, and characterize the clinical syndrome and severity of those with immunity. It also aimed to understand the application and understanding of COVID-19 mitigation strategies in GBM and investigate the impact of the pandemic on mental health, loneliness, sexual behaviours, substance use patterns, and access to essential healthcare. [1] Methods: This cohort study recruited individuals across Vancouver, British Columbia, Toronto, Ontario, and Montreal, Quebec who self-identified as a gay or bisexual man, including transgender GBM, and who reported having sex with another man in the past 6 months. Participants in the COVID-19 sub-study provided blood samples and responded to questionnaires in two waves of data collection, over the span of approximately 21 months. Contributed dataset contents: The datasets include 2,518 participants who completed baseline questionnaires since Feb 2017. A total of 1,564 participants had study visits during the Engage COVID-19 data collection period (09/2020–06/2022), and gave one or more blood samples in the same timeframe. A total of 2,719 serology samples were collected. Variables include data in the following areas of information: demographics (age, gender, ethnicity and indigeneity), general health (smoking; chronic disease diagnoses; flu vaccine), SARS-CoV-2 vaccination, adherence to COVID-19 prevention public health guidelines (physical distancing, remote working, wearing a mask), and serology. [1]: Please contact original study team for these mental health and behaviour data (daniel.grace@utoronto.ca).

Abstract Background: Homophobic harassment can compromise mental health of sexual minority youths. Objectives: This study examined the rates of persistent and multisite homophobic harassment and their associations with school difficulties during childhood and adolescence among gay and bisexual men in Taiwan. Methods: Participants were recruited through advertisements on the Facebook, Bulletin Board Systems, and the home pages of health promotion and counseling centers for the gay, lesbian, and bisexual community. The experiences of traditional and cyber harassment based on gender role nonconformity and sexual orientation of 500 gay or bisexual men were examined. The associations of multisite and persistent harassment victimization with school difficulties were evaluated. Results: A total of 239 (47.8%) and 131 (26.2%) participants experienced persistent and multisite harassment victimization, respectively. Harassment victimization was significantly associated with low satisfaction with academic performance in any stage of study. Moreover, the participants who were harassed in senior high schools were more likely to miss classes or be truant than those who were not harassed. The victims of multisite harassment at senior high schools were more likely to miss classes or be truant than those of school-only harassment. Discussion: Prevention and intervention programs are warranted to reduce homophobic harassment in sexual minority youths.

BackgroundThis study aimed to investigate the potential influence of venue-based networks on HCV transmission in HIV-positive gay and bisexual men (GBM).MethodsThis was a prospectively recruited cohort of HIV-infected GBM with recently-acquired HCV infection resident in Melbourne and Sydney. Clinical and demographic data were collected together with blood samples for HCV sequencing. Phylogenies were inferred and clusters of individuals infected with HCV with genetic sequence homology were identified. Venues used for sourcing sexual partners were identified; sourcing partners from the same venue was considered a potential social link. Using the Jaccard similarity coefficient, associations were identified between the network of sites where men sourced sex partners and transmission relationships as defined by phylogenetic clustering.ResultsForty individuals were recruited, of whom 62.5% were considered to have sexually- and 37.5% IDU-acquired HCV. Venue use was consistent with men being members of a more sexually adventurous gay community subculture. Six phylogenetically-determined pairs or clusters were identified, comprising fifteen (15/28, 53.6%) individuals. Participants belonging to phylogenetic clusters were observed within the same networks. There was a significant correlation between the network and phylogenetic clustering when both cities were considered simultaneously (p = 0.005), raising the possibility that social connections may be important for HCV transmissions.ConclusionsVenue-based network elicitation is a promising approach for elucidating HCV transmissions amongst HIV-infected GBM. Public health approaches targeting individuals and venues prominent within networks may reduce onward HCV transmission.

About this dataset

Context

The dataset tabulates the population of Gay by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Gay. The dataset can be utilized to understand the population distribution of Gay by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Gay. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Gay.

Key observations

Largest age group (population): Male # 50-54 years (25) | Female # 35-39 years (14). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Gay population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Gay is shown in the following column.
• Population (Female): The female population in the Gay is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Gay for each age group.

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 Gender. You can refer the same here