A survey conducted in 2021 found that around 97.3 percent of people assigned male at birth still identify as male, while 0.4 percent identified as female, and 0.6 percent identified as transgender.

As of February 10, 2025, the majority of the transgender population aged 13 and over in the United States were living in a state with no ban on transgender people's use of bathrooms or facilities. However, 10 percent of the transgender population were living in a state which banned transgender people from using bathrooms and facilities consistent with their gender identity in K-12 schools only, while eight percent were living in a state which banned transgender people from using bathrooms and facilities corresponding to their gender identity in all government-owned buildings and spaces, including schools, colleges, and more. A further seven percent were living in a state which restricted transgender people from using bathrooms and facilities consistent with their gender identity in K-12 schools and at least some government-owned buildings as well. Anti-education legislation Statewide legislation affecting LGBTQ+ people in the U.S. has been on the rise recently, especially in K-12 schools. Many states have taken legal action to restrict schools from teaching topics of racism, sexism, gender identity, sexual orientation, and systemic inequality to students. However, studies show that Americans typically remain politically divided over how these topics should be taught; in 2022, the majority of Democratic parents were found to believe that children should be taught that the legacy of slavery still affects the position of Black people in American society today while the majority of Republican parents thought that children should be taught that slavery is a part of American history but does not affect the position of Black people in American society today. Book bans Censorship of these topics has also been seen in K-12 libraries, with book bans occurring in multiple states throughout the country. As of 2022, Texas had the highest number of books banned in the U.S., followed by Florida. Florida's Parental Rights in Education Act, which is often referred to as the "Don't Say Gay" law, has been particularly controversial as it aims to prevent discussion of gender identity or sexual orientation and remove books featuring LGBTQ+ characters in K-12 schools and libraries. Along with potentially harming LGBTQ+ students, K-12 teachers have also highlighted how these laws and debates over what topics should be taught in the classroom may negatively impact their ability to do their job.

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.

In a global survey conducted in 2023, three percent of respondents from 30 countries identified themselves as transgender, non-binary/non-conforming/gender-fluid, or in another way. In Switzerland, around six percent of the respondents stated to identify themselves with one of the listed genders.

As of 2021, approximately 316,258 persons in Mexico self-identifed as transgender or transsexual, while almost 600,000 self-identified as fluid gender, non-binary, or asexual.

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.

This layer shows Household Pulse Survey data on gender identity and sexual orientation. Gender identity is the internal perception of gender, and how one identifies based on how one aligns or doesn’t align with cultural options for gender. This is a different concept than sex assigned at birth. Sexual orientation is the type of sexual attraction one has the capacity to feel for others, generally labeled based on the gender relationship between the person and the people they are attracted to. This is not the same as sexual behavior or preference.Learn more about how the Census Bureau survey measures sexual orientation and gender identity. This page includes nation-wide characteristics such as age, Hispanic origin and race, and educational attainment. Also read some of their findings about experiences during the COVID-19 pandemic, such as lesbian, gay, bisexual, or transgender (LGBT) adults experiencing higher rates of both economic hardship and mental health hardship. See the questionnaire used in phase 3.2 of the Household Pulse Survey.Source: Household Pulse Survey Data Tables. Data values in this layer are from Week 34 (July 21 - August 2, 2021), the first week that gender identity and sexual orientation questions were part of this survey. Top 15 metros are based on total population and are the same 15 metros available for all Household Pulse Data Tables.This layer is symbolized to show the percent of adults who are lesbian, gay, bisexual, or transgender (LGBT) as well as adults whose gender or sexual orientation was not listed on the survey (LGBTQIA+). The color of the symbol depicts the percentage and the size of the symbol depicts the count. *Percent calculations do not use those who did not report either their gender or sexual orientation in either the numerator or denominator, consistent with methodology used by the source.*Data Prep Steps:Data prep used Table 1 (Child Tax Credit Payment Status and Use, by Select Characteristics) to perform tabular data transformation. SAS to Table conversion tool was used to bring the tables into ArcGIS Pro.The data is joined to 2019 TIGER boundaries from the U.S. Census Bureau.Using the counties in each metro according to the Metropolitan and Micropolitan Statistical Area Reference Files, metro boundaries created via Merge and Dissolve tools in ArcGIS Pro.In preparing the field aliases and long descriptions, "none of these" and "something else" were generally modified to "not listed."

Selected socioeconomic characteristics of the transgender or non-binary population aged 15 and older, by age group. 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.

Most transgender people realize that the gender they were assigned at birth did not match their own gender identity in their childhood and adolescence in all European countries. On average, 73 percent realized before the age of 18, with this being highest in Luxembourg, at 90 percent, and lowest in Hungary, at 62 percent.

Important notice

The Office for Statistics Regulation confirmed on 12/09/2024 that the gender identity estimates from Census 2021 are no longer accredited official statistics and are classified as official statistics in development.

For further information please see: Sexual orientation and gender identity quality information for Census 2021

These datasets provide Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales for gender identity by sex, gender identity by age and gender identity by sex and age.

Gender identity

Gender identity refers to a person's sense of their own gender, whether male, female or another category such as non-binary. This may or may not be the same as their sex registered at birth.

Non-binary

Someone who is non-binary does not identify with the binary categories of man and woman. In these results the category includes people who identified with the specific term "non-binary" or variants thereon. However, those who used other terms to describe an identity that was neither specifically man nor woman have been classed in "All other gender identities".

Sex

This is the sex recorded by the person completing the census. The options were "Female" and "Male".

Trans

An umbrella term used to refer to people whose gender identity is different from their sex registered at birth. This includes people who identify as a trans man, trans woman, non-binary or with another minority gender identity.

Trans man

A trans man is someone who was registered female at birth, but now identifies as a man.

Trans woman

A trans woman is someone who was registered male at birth, but now identifies as a woman.

Usual resident

A usual resident is anyone who on Census Day, 21 March 2021, was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more, or had a permanent UK address and was outside the UK and intended to be outside the UK for less than 12 months.

Notes:

• To ensure that individuals cannot be identified in the data, population counts have been rounded to the nearest five and counts under 10 have been suppressed.

• Percentages have been calculated using rounded data.

About this dataset

Context

The dataset tabulates the population of Longview by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Longview across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 51.95% of total population being female. 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.

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

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Longview is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Longview 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 Longview Population by Race & Ethnicity. You can refer the same here

The IPUMS Contextual Determinants of Health (CDOH) data series includes measures of disparities, policies, and counts, by state or county, for historically marginalized populations in the United States including Black, Asian, Hispanic/Latina/o/e/x, and LGBTQ+ persons, and women. The IPUMS CDOH data are made available through ICPSR/DSDR for merging with the National Couples' Health and Time Study (NCHAT), United States, 2020-2021 (ICPSR 38417) by approved restricted data researchers. All other researchers can access the IPUMS CDOH data via the IPUMS CDOH website. Unlike other IPUMS products, the CDOH data are organized into multiple categories related to Race and Ethnicity, Sexual and Gender Minority, Gender, and Politics. The CDOH measures were created from a wide variety of data sources (e.g., IPUMS NHGIS, the Census Bureau, the Bureau of Labor Statistics, the Movement Advancement Project, and Myers Abortion Facility Database). Measures are currently available for states or counties from approximately 2015 to 2020. The Sexual and Gender measures in this release include the proportion of a state's population identifying as LGBTQ+ in the U.S. Census Bureau's Household Pulse Survey, Phases 3.2 (07/21/2021-10/11/2021), 3.3 (12/01/2021-02/07/2022), 3.4 (03/02/2022-05/09/2022), and 3.5 (06/01/2022-08/08/2022). To work with the IPUMS CDOH data, researchers will need to first merge the NCHAT data to DS1 (MATCH ID and State FIPS Data). This merged file can then be linked to the IPUMS CDOH datafile (DS2) using the STATEFIPS variable.

About this dataset

Context

The dataset tabulates the population of Clarkston by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Clarkston across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 51.73% of total population being female. 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.

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

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Clarkston is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Clarkston 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 Clarkston Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 30-34 years (320) | Female # 0-4 years (345). 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 Clarkston population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Clarkston is shown in the following column.
• Population (Female): The female population in the Clarkston 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 Clarkston 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 Clarkston Population by Gender. You can refer the same here

Abstract: Introduction: Transgender people are subject to discrimination and illness due to social marginalization and lack of access to basic rights, especially health care. They suffer from the inadequacy of care directed to basic health demands, high incidence of diseases and non-fulfillment of specific demands. The vulnerability of these people reaches a disturbing level due to disrespectful attitudes that lead trans people to avoid seeking help. Understanding that medical education geared to the needs of marginalized populations is the basis for universal access and adequate care, it is essential that medical schools define contents and pedagogical strategies for vulnerable groups. The aim of this study was to investigate and discuss how (and if) the topic of transgender people healthcare is contemplated in the undergraduate curriculum of medical schools in the state of São Paulo. Method: Exploratory, descriptive-analytical study based on data collected from medical schools in São Paulo, conducted in two stages: 1st, documentary research on the inclusion of the topic of trans people health in the undergraduate curricula; 2nd, research with teachers of the Bioethics courses, where a questionnaire was applied to evaluate how and if the topic is approached as a programmatic content. The data obtained in the 1st stage were analyzed quantitatively and are presented as relative frequencies of the evaluated characteristics, while those of the 2nd stage were analyzed through the descriptive statistical method (closed questions) and content analysis (open questions). Results: We identified references to the trans topic in the formal curricula of only 2 of the 32 surveyed medical schools, with a total of 5 citations on the topic. Analyzing the questionnaires applied to teachers in the area of bioethics, we found reports of discussions on this topic in 5/12 (42%) schools. Although all participants consider the topic to be important, only 7/12 (58%) consider themselves prepared to address it. Conclusion: It is postulated that the evident lack of content aimed at trans health in medical schools can make it difficult to reduce transphobia and develop more dignified services within the healthcare network for these people. Based on the subsidies found in the Bioethics of Protection theoretical framework, we believe the medical curricula and Bioethics courses should create spaces to address this issue, using different and effectively transformative pedagogical practices, and respecting gender identity in all environments.

About this dataset

Context

The dataset tabulates the population of Wildwood by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Wildwood across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 56.53% of total population being female. 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.

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

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Wildwood is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Wildwood 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 Wildwood Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 25-29 years (2,966) | Female # 20-24 years (3,416). 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 Turlock population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Turlock is shown in the following column.
• Population (Female): The female population in the Turlock 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 Turlock 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 Turlock Population by Gender. You can refer the same here

A survey conducted in 2024 found that over a third of respondents were thought that society has gone too far in accepting transgender people. On the other hand, a further third believed that society has not gone far enough.

About this dataset

Context

The dataset tabulates the population of Norwich town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Norwich town across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 50.11% of total population being male. 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.

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

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Norwich town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Norwich town 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 Norwich town Population by Race & Ethnicity. You can refer the same here