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 2021, around ** percent of individuals living in the District of Columbia identified as LGBT. Colorado, Arizona, Nevada, and Oregon also had high rates, exceeding *** percent. Mississippi and North Dakota had the lowest rates of LGBT populations, the only states with less than **** percent.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Gays 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 Gays 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 Gays was 214, a 1.38% decrease year-by-year from 2022. Previously, in 2022, Gays population was 217, a decline of 3.12% compared to a population of 224 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Gays decreased by 59. In this period, the peak population was 281 in the year 2010. 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 Gays Population by Year. You can refer the same here
As of April 2024, 55 percent of the LGBT population lived in the 50 states and the District of Columbia where private health insurance service providers weren't allowed to deny coverage for transgender-related health care services, such as sex reassignment surgery. However, only 40 percent lived in states where health insurance protections included sexual orientation and gender identity.
LGBT Americans The share of Americans self-identifying as lesbian, gay, bisexual or transgender has grown in recent years. This suggests that insurance protections which cover LGBT-related health care services will also continue to grow in importance. The prevalence of younger Americans self-identifying as LGBT when compared with older generations confirms this. Millennials and Gen Xers are much more likely to personally identify as LGBT than previous generations were. Growing acceptance and tolerance in wider society means that more people are willing to be open about their gender identity and sexual orientation. For instance, support for same-sex marriage in the U.S. underwent a huge shift over the past two decades with the majority of Americans being in favor of it since 2011.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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).
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:
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 Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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): 87.70% are white, 11.48% are some other race and 0.82% are multiracial.
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:
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 Race & Ethnicity. You can refer the same here
In 2019, 45 gay characters appeared in top-grossing movies in the United States. The number of lesbian, bisexual, and transgender characters added up to ten, three, and three, respectively. Overall, between 2014 and 2019, the number of LGBT characters in mainstream films in the U.S. increased by 190 percent.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Fort Gay, WV population pyramid, which represents the Fort 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 Fort Gay Population by Age. You can refer the same here
In 2022, about ** percent of male-male couples in the United States were White, compared to *** percent of gay couples who were Black or African American. Gay marriage in the United States In the mid-1990s, a majority of the U.S. population believed that same-sex couples should not be recognized by law, although this figure has been on the decline since then. In 2011, more than ** percent of Americans believed the opposite, saying that homosexual couples should be recognized by law. 2015 saw a spike in support, and on June 26 of that year, the United States Supreme Court legalized same-sex marriage in all 50 states in the case of Obergefell v. Hodges. Being LGBT in America The share of Americans who identify as lesbian, gay, bisexual, or transgender (LGBT) has been on the rise since 2012 and it is estimated that there are about *********** same-sex couples in the U.S. Additionally, about **** of surveyed people in 2019 believe that one is born gay or lesbian – a significant increase from 1977, when only ** percent of respondents said the same.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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) 2018-2022 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) 2018-2022 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
https://www.icpsr.umich.edu/web/ICPSR/studies/37166/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/37166/terms
The Generations study is a five-year study designed to examine health and well-being across three generations of lesbians, gay men, and bisexuals (LGB). The study explored identity, stress, health outcomes, and health care and services utilization among LGBs in three generations of adults who came of age during different historical contexts. This collection includes baseline, wave 1, and wave 2 data collected as part of the Generations study. The study aimed to assess whether younger cohorts of LGBs differed from older cohorts in how they viewed their LGB identity and experienced stress related to prejudice and everyday forms of discrimination, as well as whether patterns of resilience differed between different LGB cohorts. Additionally, the study sought to examine how differences in stress experience affected mental health and well-being, including depressive and anxiety symptoms, substance and alcohol use, suicide ideation and behavior, and how younger LGBs utilized LGB-oriented social and health services, relative to older cohorts. In wave 2, respondents were re-interviewed approximately one year after completion of the baseline (wave 1) survey. Only respondents who participated in the original sample of participants were surveyed at wave 2 (i.e., the enhancement oversample was not included in the longitudinal design of this study). In wave 3, respondents were re-interviewed approximately one year after the completion of the wave 2 survey. Demographic variables collected as part of this study include questions related to age, education, race, ethnicity, sexual identity, gender identity, income, employment, and religiosity.
The survey shows data on public opinion regarding representation of LGBT people in Hollywood movies as of January 2019. During a survey, 20 percent of surveyed U.S. adults stated that they strongly agreed that Hollywood provided an adequate number of roles for LGBT people.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Gays Mills by race. It includes the population of Gays Mills across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Gays Mills across relevant racial categories.
Key observations
The percent distribution of Gays Mills population by race (across all racial categories recognized by the U.S. Census Bureau): 89.25% are white, 0.17% are American Indian and Alaska Native, 0.69% are some other race and 9.88% are multiracial.
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:
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 Gays Mills Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Gay population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Gay.
The dataset constitues the following two datasets across these two themes
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/.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 80 (64.52% of the total population). 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.
Age cohorts:
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
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
!!!WARNING~~~This dataset has a large number of flaws and is unable to properly answer many questions that people generally use it to answer, such as whether national hate crimes are changing (or at least they use the data so improperly that they get the wrong answer). A large number of people using this data (academics, advocates, reporting, US Congress) do so inappropriately and get the wrong answer to their questions as a result. Indeed, many published papers using this data should be retracted. Before using this data I highly recommend that you thoroughly read my book on UCR data, particularly the chapter on hate crimes (https://ucrbook.com/hate-crimes.html) as well as the FBI's own manual on this data. The questions you could potentially answer well are relatively narrow and generally exclude any causal relationships. ~~~WARNING!!!For a comprehensive guide to this data and other UCR data, please see my book at ucrbook.comVersion 9 release notes:Adds 2021 data.Version 8 release notes:Adds 2019 and 2020 data. Please note that the FBI has retired UCR data ending in 2020 data so this will be the last UCR hate crime data they release. Changes .rda file to .rds.Version 7 release notes:Changes release notes description, does not change data.Version 6 release notes:Adds 2018 dataVersion 5 release notes:Adds data in the following formats: SPSS, SAS, and Excel.Changes project name to avoid confusing this data for the ones done by NACJD.Adds data for 1991.Fixes bug where bias motivation "anti-lesbian, gay, bisexual, or transgender, mixed group (lgbt)" was labeled "anti-homosexual (gay and lesbian)" prior to 2013 causing there to be two columns and zero values for years with the wrong label.All data is now directly from the FBI, not NACJD. The data initially comes as ASCII+SPSS Setup files and read into R using the package asciiSetupReader. All work to clean the data and save it in various file formats was also done in R. Version 4 release notes: Adds data for 2017.Adds rows that submitted a zero-report (i.e. that agency reported no hate crimes in the year). This is for all years 1992-2017. Made changes to categorical variables (e.g. bias motivation columns) to make categories consistent over time. Different years had slightly different names (e.g. 'anti-am indian' and 'anti-american indian') which I made consistent. Made the 'population' column which is the total population in that agency. Version 3 release notes: Adds data for 2016.Order rows by year (descending) and ORI.Version 2 release notes: Fix bug where Philadelphia Police Department had incorrect FIPS county code. The Hate Crime data is an FBI data set that is part of the annual Uniform Crime Reporting (UCR) Program data. This data contains information about hate crimes reported in the United States. Please note that the files are quite large and may take some time to open.Each row indicates a hate crime incident for an agency in a given year. I have made a unique ID column ("unique_id") by combining the year, agency ORI9 (the 9 character Originating Identifier code), and incident number columns together. Each column is a variable related to that incident or to the reporting agency. Some of the important columns are the incident date, what crime occurred (up to 10 crimes), the number of victims for each of these crimes, the bias motivation for each of these crimes, and the location of each crime. It also includes the total number of victims, total number of offenders, and race of offenders (as a group). Finally, it has a number of columns indicating if the victim for each offense was a certain type of victim or not (e.g. individual victim, business victim religious victim, etc.). The only changes I made to the data are the following. Minor changes to column names to make all column names 32 characters or fewer (so it can be saved in a Stata format), made all character values lower case, reordered columns. I also generated incident month, weekday, and month-day variables from the incident date variable included in the original data.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Fort Gay population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Fort Gay. The dataset can be utilized to understand the population distribution of Fort Gay by age. For example, using this dataset, we can identify the largest age group in Fort Gay.
Key observations
The largest age group in Fort Gay, WV was for the group of age 50 to 54 years years with a population of 68 (14.81%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Fort Gay, WV was the 20 to 24 years years with a population of 0 (0%). 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
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 Fort Gay Population by Age. You can refer the same here
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.