In 2021, around 14 percent of individuals living in the District of Columbia identified as LGBT. Colorado, Arizona, Nevada, and Oregon also had high rates, exceeding ten percent. Mississippi and North Dakota had the lowest rates of LGBT populations, the only states with less than five percent.

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.

In 2023, 9.8 percent of Millennials in the United States stated that they identify as LGBT, while in 2012, less than six percent of respondents from the same generation said the same. Members of Generation Z were the most likely to identify as LGBT, at over 20 percent.

In a global survey conducted in 2023, three percent of respondents declared to be homosexual, gay, or lesbian. In Brazil and the Netherlands, for instance, nine percent, instead, identified as bisexual, representing the largest group of bisexual respondents among the 30 surveyed countries. Moreover, two percent of the interviewees in Switzerland said to be pansexual or omnisexual. Pansexuality describes people who feel attracted to other people regardless of their biological sex, gender, or gender identity, whereas omnisexuality refers to people attracted to people of all gender identities and sexual orientations.

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

In 2023, Brazil was the country with the largest share of LGBT+ population at 15 percent. Spain and Switzerland followed next, with 14 and 13 percent of their population identifying as LGBT+, respectively.

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 84 (98.82% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 cities in Europe where survey respondents most commonly indicated that they were a good place to live for gay and lesbian people were Rekjavik,Valletta and Groningen in 2023. In general, the cities which ranked as the best place to live for lesbian and gay people in Europe were in Nordic countries (Norway, Iceland, Copenhagen, Sweden, Finland), western European countries (Luxembourg, Germany, the Netherlands), and southern European countries (Italy, Malta, Spain). The five cities with the fewest respondents indicating that they were a good place to live were all in south-eastern Europe, with the bottom two both coming from Turkey (Diyarbakir) and Albania (Tirania). Turkey tends to rank so lowly due to the influence of traditionalist and religious social norms, which do not recognize LGBTQ relationships as being on a par as heterosexual relationships and lead to more commonly held homophobic views.

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.

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.

About this dataset

Context

The dataset tabulates the population of Fort Gay by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Fort Gay. The dataset can be utilized to understand the population distribution of Fort Gay by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Fort 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 Fort Gay.

Key observations

Largest age group (population): Male # 50-54 years (33) | Female # 70-74 years (30). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Fort Gay population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Fort Gay is shown in the following column.
• Population (Female): The female population in the Fort 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 Fort 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 Fort Gay Population by Gender. You can refer the same here

Over the 2015-2018 period, nearly 900,000 people aged over 15 defined themselves as something other than heterosexual in Canada: 405,700 identified as lesbian or gay, while 493,200 identified as bisexual. The provinces with the largest number of non-heterosexuals people were Ontario and Quebec, which are also the most populous provinces in the country. In addition, with the exception of Quebec, bisexual people outnumbered lesbian or gay people in all provinces.

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

Worldwide, five in 10 respondents support LGBT people being open about their sexual orientation or gender identity with everyone. In a global survey conducted in 2024, 50 percent of respondents stated this. In addition, 49 percent of interviewees supported openly lesbian, gay and bisexual athletes to be part of sports teams.

The most common response in the European Union among LGBTQ survey respondents when asked to rank their life satisfaction on a scale from one to ten, was to give a score of seven in 2019. This varied from countries such as the Netherlands, Belgium, and Spain, where the most common response was eight out of ten, to North Macedonia, where the most common response was six.

The EU LGBTI II survey was carried out by the European Union Agency for Fundamental Rights (FRA) in 2019. It is a large-scale survey into experiences and views of lesbian, gay, bisexual, trans and intersex (LGBTI) individuals. The survey provides comparative evidence on how LGBTI persons in the EU experience discrimination, violence and harassment in different areas of life, including employment, education, healthcare, housing and other services.

The EU LGBTI II survey is a follow-up of the first–ever major international survey on LGBT people, which the Agency conducted in 2012. The EU LGBTI II survey is a follow-up to the first major international survey of LGBT people conducted by the Agency in 2012. The EU LGBTI II survey is a web-based opt-in survey using an anonymous online questionnaire. The survey is based on a self-selective sample. The survey was conducted between 27 May and 22 July 2019 via the website www.lgbtisurvey.eu and collected valid responses from 139,799 respondents from the Member States of the European Union (EU), Northern Macedonia and Serbia (in this context, the United Kingdom is included in the group of EU Member States, reflecting the situation at the time of data collection in 2019). Following an EU-wide open call for tenders, the FRA contracted a consortium of Agilis SA (http://www.agilis-sa.gr/) and Homoevolution (https://homoevolution.com/), based in Greece, to carry out the survey according to the FRA´s technical specifications and under the supervision of FRA staff who monitored compliance with strict quality control procedures.

The EU LGBTI II survey asked a number of questions about the experiences of LGBTI people in the following areas: (1) Perceived increase or decrease in intolerance, prejudice and violence against LGBTI people; (2) Discrimination at work, looking for work and in several other areas of life; (3) Safe environment; (4) Physical or sexual victimisation; (5) Harassment; (6) Social context of being LGBTI; (7) Background information (age, education, income, civil status); (8) Specific sections dedicated to issues related to the life of trans as well as intersex persons.

1. Sexual orientation and sexual behaviour: to whom is the respondent sexually attracted; sex of sexual partners in the last five years; country of current residence and length of stay; citizen of the country; citizenship; country of birth; age at realisation of sexual orientation; age at first outing.

2. Trans respondents: Age at realisation that feelings about one´s own sex do not match the sex assigned at birth; age at first outing; measures taken to change body to better match one´s own sex identity and age at first intervention; reasons why no measures were taken to change body; medical treatment abroad to change one´s appearance, including buying hormones via the internet; avoiding expressing one´s own sex (or desired sex) by means of appearance and clothing for fear of being attacked, threatened or harassed; changing one´s legal sex; reasons for not changing one´s legal sex so far.

3. Intersexual respondents: type of existing variants of sexual characteristics or treatment for them; diagnosis of variants of sexual characteristics by health professionals; time of diagnosis (before birth, at birth, in childhood, adolescence or at a later age); time of first diagnosis in adolescence or at a later age; age at first realisation of variants of one´s own sexual characteristics; age at first outing; medical treatment to change sexual characteristics; age at first medical treatment; age at first medical treatment; consent given to treatment; type of treatment; informing the interviewee or his/her parents about possible positive or negative consequences; difficulties in registering civil status or sex in public documents; nature of difficulties; greatest difficulties encountered by intersexuals in the country.

4. Developments and responses to homophobia, transphobia, biphobia and intersex phobia: perceived increase or decrease in intolerance, prejudice and violence against LGBTI persons in the country over the last five years; main reasons for decrease or increase in prejudice and intolerance or violence; effectiveness of government action in combating prejudice and intolerance

5. Discrimination at work, when looking for work and in various other areas of life: Experience of discrimination in different spheres of life; situation at the time of the most recent discrimination; reasons for discriminat...

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

Socioeconomic characteristics of the population aged 15 and older that is Two-Spirit, lesbian, gay, bisexual, transgender, and queer or who use other terms related to gender or sexual diversity (2SLGBTQ+), by gender, age group and geographic region. 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.

In a global survey conducted in 2023, three percent of respondents from 30 countries declared that they were homosexual, gay, or lesbian, with four percent who identified as bisexual. One percent of the interviewees said that they were pansexual or omnisexual. Pansexuality describes people who feel attracted to other people regardless of their biological sex, gender, or gender identity, whereas omnisexuality refers to people attracted to people of all gender identities and sexual orientations. Finally, one percent of respondents were asexual, which means they experience little to no sexual attraction to anyone, regardless of their gender.

LGBT people around the world

LGBT stands for lesbian, gay, bisexual, and transgender. Introduced in the 1990s, LGBT generally includes anyone who is not heterosexual or cisgender. Heterosexual refers to a person attracted to people of the opposite gender, whereas cisgender describes a person whose gender identity is the same as their sex at birth. Acceptance of other gender identities and sexual orientations is usually higher in Western countries. In a study conducted among 34 countries, acceptance of homosexuality was higher in Sweden, the Netherlands, and Spain.

Homosexuality in African countries

Worldwide, 71 countries criminalize homosexuality as of 2021, most of which are located in the Middle East, Africa, and Asia. In Africa, 32 out of 54 countries criminalize homosexuality. In four countries, the legislation imposed the death penalty for sexual relations between people of the same sex. In fact, in most African countries, homosexuality has low levels of acceptance, or is not accepted at all. In a recent survey, most respondents in Africa showed high levels of intolerance towards LGBT+ in their vicinity.

About this dataset

Context

The dataset tabulates the Gay population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Gay. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 86 (70.49% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Gay population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Gay is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Gay is shown in the following column.

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 Age. You can refer the same here