In 2023, 8.5 percent of female respondents in the United States stated they identify as LGBT, while 4.7 percent of male respondents said the same. This is an increase from 2012, when 3.5 percent of female respondents and 3.4 percent of male respondents identified as LGBT.
In 2023, 7.6 percent of adults surveyed in the United States stated they identify as lesbian, gay, bisexual, or transgender (LGBT). This is an increase from 2012, when 3.5 percent of surveyed adults identified as LGBT. These four categories are among the most common sexual orientations and gender identities outside cis-heterosexuals.
Differences across ages and genders
Zooming in, it is possible to see how the share of people identifying as LGBT changed considerably according to different demographics. Only two percent of Baby Boomers, indeed, reported being part of the LGBT community. On the other hand, among Generation Z individuals, this share reached almost 16 percent. Moreover, surveys suggest that women were more likely to identify as LGBT than men.
An ever-understanding society
The fact that an increasing amount of people feel free and safe to openly identify as LGBT might be a consequence of the improved acceptance of the different sexual orientations and genders by the American people at large. While in 2001 more than half of U.S. citizens considered homosexual relationships to be morally wrong, 20 years later this percentage dropped to 30 percent. Support for same-sex marriage has also been consistently increasing, even among traditionally conservative political groups. Despite this, it is important to remember that every year hundreds of people are still victims of hate crimes in the United States simply because of their gender or sexual orientation.
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Stats NZ introduced questions on sexual identity and gender to HES for the year ended June 2021, to help provide a more accurate and inclusive picture of New Zealanders that, amongst other dimensions, would reflect the diversity of genders and sexual identities in Aotearoa.
This statistic presents information on the media reach among male LGBTQ (lesbian, gay, bisexual and transgender, queer) consumers in the United States as of June 2018. During the survey, 67 percent of gay/bisexual male respondents said that they accessed LGBTQ websites/blogs in the 30 days prior to the survey.
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Dataset used in the study 'Speech Acoustic Features: A Comparison of Gay Men, Heterosexual Men, and Heterosexual Women' by Suire, A., Tognetti, A., Durand, V., Raymond, M., & Barkat-Defradas, M. (2020). Along with the dataset is a word file that describes all the variables in it. For additional information, please contact A. Suire (alexandresuire@hotmail.fr) or A. Tognetti (arnaud.tognetti@gmail.com).
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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 (21) | Female # 35-39 years (15). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Gay Population by Gender. You can refer the same here
This statistic shows the results of a survey among adults in the United States regarding whether they identify as lesbian, gay, bisexual, or transgender, or not. The survey was conducted from January 1, 2015, through December 30, 2016 in all federal states. During the survey, 8.6 percent of respondents in the District of Columbia stated they identified as lesbian, gay, bisexual or transgender.
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Context
The dataset tabulates the population of Fort Gay by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Fort Gay across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of male population, with 52.72% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
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. No further analysis is done on the data reported from the Census Bureau.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Fort Gay Population by Race & Ethnicity. You can refer the same here
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Context
The dataset tabulates the data for the Gay, GA population pyramid, which represents the Gay population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Gay Population by Age. You can refer the same here
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This dataset is about books. It has 4 rows and is filtered where the book subjects is Gay men-New York (State)-New York. It features 9 columns including author, publication date, language, and book publisher.
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This dataset is about books, has 1 rows. and is filtered where the book is Gay men's style : fashion, dress and sexuality in the 21st century. It features 7 columns including book, author, publication date, language, and book publisher. The preview is ordered by publication date (descending).
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This dataset is about books. It has 2 rows and is filtered where the book subjects is Gay men-Sexual behavior-United States. It features 9 columns including author, publication date, language, and book publisher.
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Explore Gay men-Louisiana-New Orleans-Fiction through data • Key facts: number of authors, number of books, books, authors, publication dates, book publishers • Real-time news, visualizations and datasets
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This paper explores two key biases underpinning heteronormativity: those against homosexuality and gender nonconformity. Through a novel experimental design deploying visual and audio stimuli to manipulate the sexuality and gender presentation of men as political candidates, I uncover persisting biases among American voters. Republicans and voters desiring order and certainty penalize gay candidates while Democrats prefer them. However, both Democrats and Republicans penalize gender nonconformity. I show the acceptance of gay candidates by Democrats comes with a demand for candidates to look and sound “straight.” Moreover, I find voters penalize gender nonconformity in both gay and straight men, highlighting that heteronormative ideologies, while privileging heterosexuality over homosexuality, do not (dis)advantage all gay and straight candidates equally. Probing the contours of our egalitarianism and our understanding of who gets to walk the halls of power, these findings underscore the importance of considering status differentials both across and within census-style identity categories.
https://dataverse.nl/api/datasets/:persistentId/versions/4.0/customlicense?persistentId=doi:10.34894/LFNBDDhttps://dataverse.nl/api/datasets/:persistentId/versions/4.0/customlicense?persistentId=doi:10.34894/LFNBDD
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.
In the United States, 51 percent of LGBTQ characters on cable networks in the 2023-24 season were white, while 30 percent of the characters were Black people. Moreover, the share of Latino characters was 7 percent.
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Context
The dataset tabulates the Gay population by age. The dataset can be utilized to understand the age distribution and demographics of Gay.
The dataset constitues the following three datasets
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.
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/.
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License information was derived automatically
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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Gay Population by Year. You can refer the same here
In 2023, around 52 percent of U.S. transgender men aged between 13 and 24 years had considered suicide within the past 12 months, compared to 27 percent of cisgender men. The statistic illustrates the share of U.S. LGBTQ youth who had considered or attempted suicide within the past 12 months as of 2023, by gender identity.
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Context
The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Gay. The dataset can be utilized to gain insights into gender-based income distribution within the Gay population, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
Employment type classifications include:
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.
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/.
This dataset is a part of the main dataset for Gay median household income by race. You can refer the same here
In 2023, 8.5 percent of female respondents in the United States stated they identify as LGBT, while 4.7 percent of male respondents said the same. This is an increase from 2012, when 3.5 percent of female respondents and 3.4 percent of male respondents identified as LGBT.