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.
As of February 2025, it was found that men between the ages of 25 and 34 years made up Facebook's largest audience, accounting for 18.5 percent of global users. Additionally, Facebook's second-largest audience base could be found with men aged 18 to 24 years. Facebook connects the world Founded in 2004 and going public in 2012, Facebook is one of the biggest internet companies in the world with influence that goes beyond social media. It is widely considered as one of the Big Four tech companies, along with Google, Apple, and Amazon (all together known under the acronym GAFA). Facebook is the most popular social network worldwide and the company also owns three other billion-user properties: mobile messaging apps WhatsApp and Facebook Messenger, as well as photo-sharing app Instagram. Facebook usersThe vast majority of Facebook users connect to the social network via mobile devices. This is unsurprising, as Facebook has many users in mobile-first online markets. Currently, India ranks first in terms of Facebook audience size with 378 million users. The United States, Brazil, and Indonesia also all have more than 100 million Facebook users each.
Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.
In the urban regions of Ahmedabad in India, the age adjusted incidence rate of registered tongue cancer cases among male was over ** cases per million male adult between the years 2012 and 2016. Whereas, the age incidence rate of mouth cancer among women was over ***** cases per million females in the country.
https://lida.dataverse.lt/api/datasets/:persistentId/versions/2.3/customlicense?persistentId=hdl:21.12137/TW2B48https://lida.dataverse.lt/api/datasets/:persistentId/versions/2.3/customlicense?persistentId=hdl:21.12137/TW2B48
The purpose of the study: to analyse Lithuanian residents attitude towards family, coordination of men and women domestic and labour roles. Major investigated questions: it was aimed to find out Lithuanian residents attitude towards marriage and children: if a working mother can establish just as warm and secure relationships with her children as a mother who does not work, if housewives are satisfied with their lives just as much as women who are working for pay. It was asked who should earn to household income - men or women. It was questioned how much women should work when there is a child under school age and after the youngest child starts school. Also, questions about marriage were asked. Further, respondents assessed if one father or mother can bring up a child as well as two parents together. Respondents indicated what the ideal number of children for a family to have should be. Respondents were asked about children: if watching children grow up is life's greatest joy, if raising children restricts the employment and career chances of one or both parents, etc. It as analysed who should take a paid parental leave - mother or father. Respondents indicated who should primarily provide childcare for under school age children and who should primarily cover the costs of childcare for children under school age. Also, questions about help for elderly people. Further, respondents were asked about distribution (real and imaginary right) of household work. It was analysed who has the final say when respondent and his/hers spouse/partner are deciding on weekend activities. Respondents were asked to evaluate total his/hers and spouse/partner income and indicate who has the higher income. A portion of questions was assigned to evaluate roles coordination in the family and home. At the end respondent were asked if they feel happy, are they satisfied with their work and family life. Socio-demographic characteristics: gender, age, level of education, membership in organizations, religion, marital status, nationality, political views, political participation, size of household, respondent's average personal income, place of residence, working situation of the respondent and of his/her spouse or partner.
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Count of students suspended during Term 2 of each year from 2012, by gender and age group. Suspension from school means that the student does not attend school for a period of time ranging from one to five school days. Notes: • Age is calculated as at 1 July in each reporting year. • Gender is based on the information collected from the student’s enrolled school in the August enrolment collection.
Listing of deaths by suicide in the City of Austin by year, age group, and gender. This listing is compiled from the Texas Electronic Registrar (TER). The Texas Electronic Registrar is an online system used by funeral directors, physicians, medical examiners, and others in Texas to create death certificates.
Archived as of 6/26/2025: The datasets will no longer receive updates but the historical data will continue to be available for download. This dataset provides information related to emergency visit claims. It contains information about the total number of patients, total number of claims, and dollar amount paid, grouped by recipient race and gender. Restricted to claims with service date between 01/2012 to 12/2017. Restricted to top 100 most frequent primary diagnostic codes in ER claims from 2012 - 2017. ER claims are defined as claims with CPT codes 99281, 99282, 99283, 99284, and 99285. Providers are billing providers. If multiple diagnostic codes are attached to a claim, primary diagnosis is used.This data is for research purposes and is not intended to be used for reporting. Due to differences in geographic aggregation, time period considerations, and units of analysis, these numbers may differ from those reported by FSSA.
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License information was derived automatically
Context
The dataset tabulates the population of Camden County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Camden County. The dataset can be utilized to understand the population distribution of Camden County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Camden County. 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 Camden County.
Key observations
Largest age group (population): Male # 20-24 years (3,071) | Female # 25-29 years (2,012). 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:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Camden County Population by Gender. 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 Shelton by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Shelton. The dataset can be utilized to understand the population distribution of Shelton by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Shelton. 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 Shelton.
Key observations
Largest age group (population): Male # 55-59 years (2,012) | Female # 55-59 years (1,862). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Shelton Population by Gender. You can refer the same here
Archived as of 6/26/2025: The datasets will no longer receive updates but the historical data will continue to be available for download. This dataset provides information related to access and transportation-related claims. It contains information about the total number of patients, total number of claims, and total dollar amount, grouped by recipient race, gender and age group. Restricted to claims with service date between 01/2012 to 12/2017. Transportation claims identified as billing provider type 26 and related category of service type. This data is for research purposes and is not intended to be used for reporting. Due to differences in geographic aggregation, time period considerations, and units of analysis, these numbers may differ from those reported by FSSA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This table contains forecast figures about the population of the Netherlands by sex, age, ethnic group and generation on 1 January. Data available: 2013-2060 Status of the figures: The figures in this table are calculated forecast figures. Changes as of December 13, 2012. In this new table, the previous forecast has been adjusted based on the most recent insights, the forecast period now runs from 2012 to 2060. Changes as of December 16, 2014. Discontinued. When will new numbers come out? In December 2014, the new forecast figures will be published in a new table.
Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.
Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.
Raw and standardised death rates of the Canton of Basel-Stadt by gender and age groups since 2012. Death rates are updated monthly. Due to delayed event notifications, the values of previous months (number of deaths, death rate/rate) may change slightly after an update. The standardised death rate refers to the middle population of the month of January 2012 of the canton of Basel-Stadt. By standardisation, in the age group “All” you get an age-standardised death rate for the respective gender.
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License information was derived automatically
LF: Unemployed: Rural: 30-34 data was reported at 15,562.000 Person in 2014. This records an increase from the previous number of 11,051.000 Person for 2012. LF: Unemployed: Rural: 30-34 data is updated yearly, averaging 13,306.500 Person from Dec 2012 (Median) to 2014, with 2 observations. The data reached an all-time high of 15,562.000 Person in 2014 and a record low of 11,051.000 Person in 2012. LF: Unemployed: Rural: 30-34 data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Zambia – Table ZM.G019: Unemployed Population: by Age Group, Gender and Settlement Type.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This table contains forecast figures from the period survival tables (per period of 1 year) by gender and age (on 31 December) for the population of the Netherlands. The table shows how many boys or girls from a group of 100,000 newborns will reach the age of 0, 1, 2, etc. on December 31 of the year of observation. It is also possible to see how old these children will be on average. The table can be broken down into mortality probability, the number of people alive (table population), the number of deaths (table population) and life expectancy by gender and age. Data available: 2012-2060 Status of the figures: The figures in this table are calculated forecast figures. Changes as of December 13, 2012. In this new table, the previous forecast has been adjusted based on the most recent insights, the forecast period now runs from 2012 to 2060. Changes as of December 16, 2014. Discontinued. When will new numbers come out? In December 2014, the new forecast figures will be published in a new table.
Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 Source: Fatality Analysis Reporting System (FARS) Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Count of students suspended during Term 2 of each year from 2012, by gender and age group. Suspension from school means that the student does not attend school for a period of time ranging from one …Show full descriptionCount of students suspended during Term 2 of each year from 2012, by gender and age group. Suspension from school means that the student does not attend school for a period of time ranging from one to five school days. Notes: • Age is calculated as at 1 July in each reporting year. • Gender is based on the information collected from the student’s enrolled school in the August enrolment collection.
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 Bristol County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Bristol County. The dataset can be utilized to understand the population distribution of Bristol County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Bristol County. 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 Bristol County.
Key observations
Largest age group (population): Male # 15-19 years (2,012) | Female # 15-19 years (2,472). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Bristol County Population by Gender. 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.