In 2024, 14.2 percent of Millennials in the United States stated that they identify as LGBTQ+, 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 LGBTQ+, at over 23 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.

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.

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.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Gays, IL, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Gays did not include 5, 6, or 7-person households. Across the different household sizes in Gays the mean income is $81,998, and the standard deviation is $24,103. The coefficient of variation (CV) is 29.39%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $49,992. It then further increased to $102,687 for 4-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/gays-il-median-household-income-by-household-size.jpeg" alt="Gays, IL median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Gays median household income. You can refer the same here

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 (21) | Female # 35-39 years (15). 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 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

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 (45) | Female # 60-64 years (24). 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 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

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.

Abstract Violence against LGBT people has always been present in our society. Brazil is the country with the highest number of lethal crimes against LGBT people in the world. The aim of this study was to describe the characteristics of homicides of LGBT people in Brazil using spatial analysis. The LGBT homicide rate was used to facilitate the visualization of the geographical distribution of homicides. Public thoroughfares and the victim’s home were the most common places of occurrence. The most commonly used methods for killing male homosexuals and transgender people were cold weapons and firearms, respectively; however, homicides frequently involved beatings, suffocation, and other cruelties. The large majority of victims were aged between 20 and 49 years and typically white or brown. The North, Northeast and Central-West regions, precisely the regions with the lowest HDI, presented LGBT homicide rates above the national rate. LGBT homicides are typically hate crimes and constitute a serious public health problem because they affect young people, particularly transgender people. This problem needs to be addressed by the government, starting with the criminalization of homophobia and the subsequent formulation of public policies to reduce hate crimes and promote respect for diversity.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Fort Gay, WV, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Fort Gay did not include 5, 6, or 7-person households. Across the different household sizes in Fort Gay the mean income is $37,736, and the standard deviation is $18,163. The coefficient of variation (CV) is 48.13%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $16,494. It then further increased to $57,475 for 4-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/fort-gay-wv-median-household-income-by-household-size.jpeg" alt="Fort Gay, WV median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 median household income. You can refer the same here

We aim to replicate findings resulting from the sexually antagonistic gene hypothesis (SAGH) of male homosexuality. According to this hypothesis, homosexuality in men is partly heritable and at least one genetic locus is X-linked, the relevant allele(s) residing on the X-chromosome and being transmitted to homosexual men from their mothers. This allele or these alleles should also increase fecundity of carrier women, which is in fact a mechanism considered to be responsible for pertaining of male homosexuality in human population. We will test this hypothesis as well as the so called maternal immune hypothesis (MIH), that brings prenatal mechanisms in action. The mother is presumed to be immunized by pregnancies with male fetuses, develops an immune response which raises the probability that her subsequent sons will be gay. Gay men, on average, should have more older brothers, which has actually been demonstrated by a body of research.

The possibility that the relevant allele(s) reside(s) on autosomes cannot be excluded. If this is so, it could possibly be reflected in an elevated fecundity not only in female maternal relatives of homosexual men, but also in other classes of relatives.

We will try to replicate previous findings of other researchers on a sample of Czech homosexual and heterosexual men and women. We will compare two methods of data collection - the questionnaires distributed either on-line or physically in field. In the questionnaire, we are going to gather information about the number of our participants' relatives and their sexual orientation. Participants will be sampled using targeted sampling method.

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.

As bisexual individuals in the United States (U.S.) face significant health disparities, researchers have posited that these differences may be fueled, at least in part, by negative attitudes, prejudice, stigma, and discrimination toward bisexual individuals from heterosexual and gay/lesbian individuals. Previous studies of individual and social attitudes toward bisexual men and women have been conducted almost exclusively with convenience samples, with limited generalizability to the broader U.S. population. Our study provides an assessment of attitudes toward bisexual men and women among a nationally representative sample of heterosexual, gay, lesbian, and “other”-identified adults in the U.S. Data were collected from the 2015 National Survey of Sexual Health and Behavior (NSSHB), via an online questionnaire with a probability sample of adults (18 and over) from throughout the U.S. We included two modified 5-item versions of the Bisexualities: Indiana Attitudes Scale (BIAS), validated sub-scales that were developed to measure attitudes toward bisexual men and women. Data were analyzed using descriptive statistics, gamma regression, and paired t-tests. Gender, sexual identity, age, race/ethnicity, income, and educational attainment were all significantly associated with participants' attitudes toward bisexual individuals. In terms of responses to individual scale items, participants were most likely to “neither agree nor disagree” with attitudinal statements. Across sexual identities, self-identified "other" participants reported the most positive attitudes, while heterosexual male participants reported the least positive attitudes. Overall, attitudes toward bisexual men were significantly less positive than toward bisexual women across identities. As in previous research on convenience samples, we found a wide range of demographic characteristics were related with attitudes toward bisexual individuals in our nationally-representative study of heterosexual, gay/lesbian, and "other"-identified adults in the U.S. Additionally, as in previous studies, gender emerged as a significant characteristic; female participants’ attitudes were more positive than male participants’ attitudes, and all participants’ attitudes were generally more positive toward bisexual women than bisexual men. While population data suggest a marked shift in more positive attitudes toward gay men and lesbian women in the general population of the U.S., the largest proportions of participants in our study reported a relative lack of agreement or disagreement with the affective-evaluative statements in the BIAS scales. Findings document the absence of positive attitudes toward bisexual individuals among the general population of adults in the U.S. Our findings highlight the need for developing intervention approaches to promote more positive attitudes toward bisexual individuals, targeted toward not only heterosexual and but also gay/lesbian individuals and communities.

Companies increasingly seek to use gay protagonists in audio-visual commercials to attract a new affluent target group. There is also growing demand for the diversity present in society to be reflected in media formats such as advertising. Studies have shown, however, that heterosexual consumers (especially men), who may be part of the company's loyal consumer base, tend to react negatively to gay-themed advertising campaigns. Searching for an instrument to mitigate this unwanted effect, the present study investigated whether carefully selected background music can shape the perceived gender of gay male advertising protagonists. In a 2 × 2 between-subjects online experiment (musical connotation × gender of the participant), 218 heterosexual participants watched a commercial promoting engagement rings that featured gay male protagonists, scored with feminine- or masculine-connoted background music. As expected, women generally reacted more positively than men to the advertising. Men exposed to the masculine-connoted background music rated the promoted brand more positively, and masculine music also enhanced (at least in the short term) these men's acceptance of gay men in general (low and medium effect sizes) more than was the case for feminine background music. Carefully selected background music affecting the perceived gender of gay male advertising protagonists may prevent negative reactions from heterosexual audiences and, therefore, motivate companies to use gay protagonists in television commercials on a more regular basis.

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.

IntroductionAmong US men, oropharyngeal cancer (cancer of the back of the mouth and throat) is the 8th most common cancer. If detected early, human papillomavirus (HPV)-16-associated oropharyngeal cancer has a high 5-year survival rate. Risk factors such as high numbers of oral sex partners, disparities in smoking and drinking, and low rates of HPV vaccination may put gay and bisexual men at even higher risk for oropharyngeal cancer.MethodsWe recruited 21 healthcare providers in Minneapolis-St. Paul, Minnesota and Houston, Texas to participate in semi-structured interviews. Nurses, physician assistants, dental hygienists, and dentists were asked about their clinical experiences serving gay and bisexual men and opinions on potential interventions for the early detection of oropharyngeal cancer.ResultsProviders typically did not tailor health screenings and examinations for gay and bisexual men. Participants lacked confidence in their ability to effectively implement routine screening for oropharyngeal cancer. The extent to which oropharyngeal cancer screening was incorporated into clinical practice varied by specialty, and practices necessary to detect it were scattered across clinical environments. HIV- and LGBTQ-focused healthcare providers were more aware of HPV-associated oropharyngeal cancer in gay and bisexual men, and appeared readier to act and lead on this issue.DiscussionFurther studies should (1) evaluate protocols for oropharyngeal cancer detection; (2) identify and assess the acceptability of screening in the community; and (3) study how to best close gaps in health services for gay and bisexual men which might contribute to low early detection rates of oropharyngeal cancer.

This statistic presents information on the share of LGBT consumers who used selected social media networks in the past 30 days in Canada as of July 2017, sorted by gender. The data reveals that Facebook was the most popular social media platform among gay/bisexual men and lesbians/bisexual women, followed by YouTube. Twitter usage was similar for each gender, however whilst just 16 percent of women had used Tumblr in the last 30 days, the figure for male respondents was twenty percent higher.

In 2023, there were 1,215 victims of anti-gay hate crimes in the United States, making gay men the group with the most victims attacked for their gender or sexual orientation in that year. Furthermore, there were another 409 victims of anti-transgender hate crimes and 198 victims of anti-lesbian hate crimes in 2023.

We show that faces contain much more information about sexual orientation than can be perceived and interpreted by the human brain. We used deep neural networks to extract features from 35,326 facial images. These features were entered into a logistic regression aimed at classifying sexual orientation. Given a single facial image, a classifier could correctly distinguish between gay and heterosexual men in 81% of cases, and in 74% of cases for women. Human judges achieved much lower accuracy: 61% for men and 54% for women. The accuracy of the algorithm increased to 91% and 83%, respectively, given five facial images per person. Facial features employed by the classifier included both fixed (e.g., nose shape) and transient facial features (e.g., grooming style). Consistent with the prenatal hormone theory of sexual orientation, gay men and women tended to have gender-atypical facial morphology, expression, and grooming styles. Prediction models aimed at gender alone allowed for detecting gay males with 57% accuracy and gay females with 58% accuracy. Those findings advance our understanding of the origins of sexual orientation and the limits of human perception. Additionally, given that companies and governments are increasingly using computer vision algorithms to detect people’s intimate traits, our findings expose a threat to the privacy and safety of gay men and women.

The data contain the structured parts of a reader survey conducted by the weekly supplement NYT of the daily newspaper Helsingin Sanomat. The survey studied Finnish homosexual behaviour and attitudes towards homosexuality. Respondents' sexual behaviour and experiences were investigated with several close-ended questions: the extent of homosexual attraction or experience, main reasons for contacting persons of the same sex, age when started sex life, how often has sex and how often would like to have sex. The development of respondents' sexual identity was charted. Respondents were also asked what they enjoyed most in sexual activities, how they would define homosexuality and whether their friends, relatives, fellow workers, neighbours etc. were aware of their sexuality. They were asked whether they had experienced pressure from their environment because of their sexual identity (e.g. subjected to jokes, discrimination in the workplace). There were 1885 respondents. One third of the respondents were young people aged 20-30. One third were students and the rest represented a wide variety of occupations and employment sectors. Half of the respondents lived in the metropolitan area; the majority of other respondents also lived in cities. Background variables included sex, age, occupation, marital status and sexual orientation (bisexual, heterosexual, homosexual, lesbian).