83 datasets found
  1. LGBT identification in the U.S. 2012-2023

    • statista.com
    • ai-chatbox.pro
    Updated Mar 3, 2025
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    Statista (2025). LGBT identification in the U.S. 2012-2023 [Dataset]. https://www.statista.com/statistics/719674/american-adults-who-identify-as-homosexual-bisexual-or-transgender/
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    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  2. Facebook: distribution of global audiences 2025, by age and gender

    • statista.com
    Updated Jun 19, 2025
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    Statista (2025). Facebook: distribution of global audiences 2025, by age and gender [Dataset]. https://www.statista.com/statistics/376128/facebook-global-user-age-distribution/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    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.

  3. d

    Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 9 - San...

    • catalog.data.gov
    • data.virginia.gov
    • +3more
    Updated Apr 30, 2025
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    Centers for Disease Control and Prevention (2025). Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 9 - San Francisco [Dataset]. https://catalog.data.gov/dataset/impaired-driving-death-rate-by-age-and-gender-2012-2014-region-9-san-francisco
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    Dataset updated
    Apr 30, 2025
    Dataset provided by
    Centers for Disease Control and Prevention
    Area covered
    San Francisco
    Description

    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.

  4. Age adjusted incidence rate of mouth cancer India 2012-2016, by PBCR and...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Age adjusted incidence rate of mouth cancer India 2012-2016, by PBCR and gender [Dataset]. https://www.statista.com/statistics/1242228/india-age-adjusted-incidence-rate-of-mouth-cancer-by-pbcr-and-gender/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    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.

  5. L

    Data from: ISSP 2012: Family and Changing Gender Roles IV, Lithuania,...

    • lida.dataverse.lt
    application/gzip, pdf +1
    Updated Mar 10, 2025
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    Eglė Butkevičienė; Eglė Butkevičienė; Aistė Balžekienė; Aistė Balžekienė; Vaidas Morkevičius; Vaidas Morkevičius; Justina Ražanauskaitė; Ligita Šarkutė; Ligita Šarkutė; Audronė Telešienė; Audronė Telešienė; Giedrius Žvaliauskas; Giedrius Žvaliauskas; Justina Ražanauskaitė (2025). ISSP 2012: Family and Changing Gender Roles IV, Lithuania, January - February 2013 [Dataset]. https://lida.dataverse.lt/dataset.xhtml?persistentId=hdl:21.12137/TW2B48
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    application/gzip(200478), tsv(421873), pdf(54756), pdf(434667), application/gzip(2468109)Available download formats
    Dataset updated
    Mar 10, 2025
    Dataset provided by
    Lithuanian Data Archive for SSH (LiDA)
    Authors
    Eglė Butkevičienė; Eglė Butkevičienė; Aistė Balžekienė; Aistė Balžekienė; Vaidas Morkevičius; Vaidas Morkevičius; Justina Ražanauskaitė; Ligita Šarkutė; Ligita Šarkutė; Audronė Telešienė; Audronė Telešienė; Giedrius Žvaliauskas; Giedrius Žvaliauskas; Justina Ražanauskaitė
    License

    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

    Time period covered
    Jan 12, 2013 - Feb 5, 2013
    Area covered
    Lithuania
    Dataset funded by
    Research Council of Lithuania (National Research Programme “Social Challenges to National Security”)
    Description

    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.

  6. Suspensions by age group and gender - Dataset - data.sa.gov.au

    • data.sa.gov.au
    Updated May 21, 2021
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    data.sa.gov.au (2021). Suspensions by age group and gender - Dataset - data.sa.gov.au [Dataset]. https://data.sa.gov.au/data/dataset/suspensions-by-age-group-and-gender-during-term-2
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    Dataset updated
    May 21, 2021
    Dataset provided by
    Government of South Australiahttp://sa.gov.au/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Australia
    Description

    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.

  7. d

    Suicide Line Listing By Age Group And Gender 2012-2018

    • catalog.data.gov
    • datahub.austintexas.gov
    • +3more
    Updated Apr 25, 2025
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    data.austintexas.gov (2025). Suicide Line Listing By Age Group And Gender 2012-2018 [Dataset]. https://catalog.data.gov/dataset/suicide-line-listing-by-age-group-and-gender-2012-2018
    Explore at:
    Dataset updated
    Apr 25, 2025
    Dataset provided by
    data.austintexas.gov
    Description

    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.

  8. i

    Emergency Visit Claims by Recipient Race, Gender, and Age Group

    • hub.mph.in.gov
    Updated Sep 14, 2017
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    (2017). Emergency Visit Claims by Recipient Race, Gender, and Age Group [Dataset]. https://hub.mph.in.gov/dataset/emergency-visit-claims-by-recipient-race-gender-and-age-group
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    Dataset updated
    Sep 14, 2017
    Description

    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.

  9. N

    Camden County, GA Population Breakdown by Gender and Age Dataset: Male and...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
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    Neilsberg Research (2025). Camden County, GA Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/e1d57cdc-f25d-11ef-8c1b-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Georgia, Camden County
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    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.

    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 Camden County population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Camden County is shown in the following column.
    • Population (Female): The female population in the Camden County 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 Camden County 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 Camden County Population by Gender. You can refer the same here

  10. N

    Shelton, CT Population Breakdown by Gender and Age

    • neilsberg.com
    csv, json
    Updated Sep 14, 2023
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    Neilsberg Research (2023). Shelton, CT Population Breakdown by Gender and Age [Dataset]. https://www.neilsberg.com/research/datasets/6791b2f5-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Sep 14, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Connecticut, Shelton
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    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.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Shelton population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Shelton is shown in the following column.
    • Population (Female): The female population in the Shelton 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 Shelton 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 Shelton Population by Gender. You can refer the same here

  11. i

    Transportation Related Claims by Recipient Race, Gender, and Age - Dataset -...

    • hub.mph.in.gov
    Updated Sep 14, 2017
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    (2017). Transportation Related Claims by Recipient Race, Gender, and Age - Dataset - The Indiana Data Hub [Dataset]. https://hub.mph.in.gov/dataset/transportation-related-claims-by-recipient-race-gender-and-age
    Explore at:
    Dataset updated
    Sep 14, 2017
    Description

    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.

  12. C

    Population; age, gender, origin group and generation 2013-2060

    • ckan.mobidatalab.eu
    Updated May 3, 2023
    + more versions
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    OverheidNl (2023). Population; age, gender, origin group and generation 2013-2060 [Dataset]. https://ckan.mobidatalab.eu/dataset/1891-population-age-gender-group-of-origin-and-generation-2013-2060
    Explore at:
    http://publications.europa.eu/resource/authority/file-type/json, http://publications.europa.eu/resource/authority/file-type/atomAvailable download formats
    Dataset updated
    May 3, 2023
    Dataset provided by
    OverheidNl
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  13. A

    Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 1 -...

    • data.amerigeoss.org
    • data.virginia.gov
    • +4more
    csv, json, rdf, xml
    Updated Sep 14, 2016
    + more versions
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    United States (2016). Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 1 - Boston [Dataset]. https://data.amerigeoss.org/dataset/impaired-driving-death-rate-by-age-and-gender-2012-2014-region-1-boston-24b08
    Explore at:
    xml, json, csv, rdfAvailable download formats
    Dataset updated
    Sep 14, 2016
    Dataset provided by
    United States
    Description

    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.

  14. d

    Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, Region 6 -...

    • catalog.data.gov
    • data.virginia.gov
    • +3more
    Updated Apr 30, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, Region 6 - Dallas [Dataset]. https://catalog.data.gov/dataset/motor-vehicle-occupant-death-rate-by-age-and-gender-2012-2014-region-6-dallas
    Explore at:
    Dataset updated
    Apr 30, 2025
    Dataset provided by
    Centers for Disease Control and Prevention
    Description

    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.

  15. g

    Monthly death rates by gender and age group | gimi9.com

    • gimi9.com
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    Monthly death rates by gender and age group | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_100173-kanton-basel-stadt/
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    Description

    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.

  16. Z

    Zambia LF: Unemployed: Rural: 30-34

    • ceicdata.com
    Updated Aug 20, 2018
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    CEICdata.com (2018). Zambia LF: Unemployed: Rural: 30-34 [Dataset]. https://www.ceicdata.com/en/zambia/unemployed-population-by-age-group-gender-and-settlement-type
    Explore at:
    Dataset updated
    Aug 20, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2014
    Area covered
    Zambia
    Description

    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.

  17. C

    Forecast life expectancy; gender and age, 2012-2060

    • ckan.mobidatalab.eu
    Updated Jul 13, 2023
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    OverheidNl (2023). Forecast life expectancy; gender and age, 2012-2060 [Dataset]. https://ckan.mobidatalab.eu/dataset/1899-prognose-levensverwachting-geslacht-en-leeftijd-2012-2060
    Explore at:
    http://publications.europa.eu/resource/authority/file-type/atom, http://publications.europa.eu/resource/authority/file-type/jsonAvailable download formats
    Dataset updated
    Jul 13, 2023
    Dataset provided by
    OverheidNl
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  18. A

    Motor Vehicle Occupant Death Rate, by Age and Gender, 2012, Region 6 -...

    • data.amerigeoss.org
    csv, json, rdf, xml
    Updated Jul 31, 2019
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    United States[old] (2019). Motor Vehicle Occupant Death Rate, by Age and Gender, 2012, Region 6 - Dallas [Dataset]. https://data.amerigeoss.org/dataset/motor-vehicle-occupant-death-rate-by-age-and-gender-2012-region-6-dallas-f4c8a
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    csv, xml, json, rdfAvailable download formats
    Dataset updated
    Jul 31, 2019
    Dataset provided by
    United States[old]
    Area covered
    Dallas
    Description

    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.

  19. d

    Suspensions by age group and gender in Term 2

    • data.gov.au
    csv
    Updated Jul 12, 2022
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    Department for Education (2022). Suspensions by age group and gender in Term 2 [Dataset]. https://data.gov.au/dataset/ds-sa-84d9a9d9-30cf-40f3-9e6d-f5a35e3b4ee3
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 12, 2022
    Dataset provided by
    Department for Education
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  20. N

    Bristol County, RI Population Breakdown by Gender and Age Dataset: Male and...

    • neilsberg.com
    csv, json
    Updated Feb 19, 2024
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    Neilsberg Research (2024). Bristol County, RI Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/8d997714-c989-11ee-9145-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 19, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Rhode Island, Bristol County
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    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.

    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 Bristol County population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Bristol County is shown in the following column.
    • Population (Female): The female population in the Bristol County 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 Bristol County 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 Bristol County Population by Gender. You can refer the same here

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Statista (2025). LGBT identification in the U.S. 2012-2023 [Dataset]. https://www.statista.com/statistics/719674/american-adults-who-identify-as-homosexual-bisexual-or-transgender/
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LGBT identification in the U.S. 2012-2023

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5 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 3, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

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.

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