About this dataset

Context

The dataset tabulates the population of Gays by race. It includes the population of Gays across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Gays across relevant racial categories.

Key observations

The percent distribution of Gays population by race (across all racial categories recognized by the U.S. Census Bureau): 94.80% are white and 5.20% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Gays
• Population: The population of the racial category (excluding ethnicity) in the Gays is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Gays 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 Gays Population by Race & Ethnicity. You can refer the same here

The EU Lesbian, Gay, Bisexual and Transgender Survey (EU LGBT) was conducted by the European Union Agency for Fundamental Rights (FRA). It is the first ever EU-wide online survey to establish an overview concerning the lives of lesbian, gay, bisexual and trans people (18 years or older) and their experiences with regard to fundamental rights in the 28 EU Member States. Up until now, there has been very little comparable data collected across the EU about the everyday experiences of LGBT people with respect to discrimination, and lot of the available information is limited to occasional news reports and court judgements. As the first EU-wide survey of its kind, the results support the development of equal treatment policies for LGBT people in the European Union and set the agenda for years to come. Based on the survey results, national and European policy makers, as well as non-governmental organisations, are able to better target their advocacy strategies and activities to support LGBT communities to live and express themselves freely in a non-discriminatory environment. The survey was completely anonymous (no additional data on the participants and their sessions were logged in any way). The survey data collection operated by Gallup Europe, a professional survey and consultancy firm. In order to ensure that the survey delivers evidence needed for policy making, the EU LGBT Survey counted on the participation of a large and diverse group of lesbian, gay, bisexual and trans people from each country. Hence, it was vitally important for the success of the survey that FRA and Gallup worked together with civil society organisations to reach a wide audience and raise awareness concerning the survey, including participants emailing the survey, sharing it through social media or simply inviting LGBT friends to take part. More information can be found on the FRA website The data represents a self-selected sample and not a random sample. Please see technical report for details on data collection and dissemination of survey to potential respondents. Web-based survey

About this dataset

Context

The dataset tabulates the population of Fort Gay by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Fort Gay. The dataset can be utilized to understand the population distribution of Fort Gay by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Fort Gay. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Fort Gay.

Key observations

Largest age group (population): Male # 50-54 years (45) | Female # 60-64 years (24). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Fort Gay population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Fort Gay is shown in the following column.
• Population (Female): The female population in the Fort Gay is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Fort Gay for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Fort Gay Population by Gender. You can refer the same here

This dataset is about books and is filtered where the book is Leading the parade : conversations with America's most influential lesbians and gay men. It has 7 columns such as author, BNB id, book, book publisher, and ISBN. The data is ordered by publication date (descending).

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Gay by race. It includes the distribution of the Non-Hispanic population of Gay across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Gay across relevant racial categories.

Key observations

Of the Non-Hispanic population in Gay, the largest racial group is White alone with a population of 75 (98.68% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Gay
• Population: The population of the racial category (for Non-Hispanic) in the Gay is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Gay total Non-Hispanic 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 Gay Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Gay by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Gay. The dataset can be utilized to understand the population distribution of Gay by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Gay. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Gay.

Key observations

Largest age group (population): Male # 50-54 years (25) | Female # 35-39 years (14). 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 Gay population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Gay is shown in the following column.
• Population (Female): The female population in the Gay is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Gay for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Gay Population by Gender. You can refer the same here

Socioeconomic characteristics of the population aged 15 and older that is Two-Spirit, lesbian, gay, bisexual, transgender, and queer or who use other terms related to gender or sexual diversity (2SLGBTQ+), by gender, age group and geographic region. 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.

The lived experiences of lesbian, gay, bi, trans, intersex and queer (LGBTIQ) Roma, sometimes referred to as Romany Gypsies, remain invisible to most people, who are not aware that LGBTIQ Roma exist. The visual and textual data provide a unique opportunity to gain insight into the lives of LGBTIQ Roma through their lived experiences and visual self-representations, thus increasing the visibility of LGBTIQ Roma as well as demonstrating ways in which LGBTIQ Roma wish to be represented. These self-representations pose a direct challenge to the tropes, dominant representations, stereotypes and misconceptions that exist in the popular imagination about both Roma and LGBTIQ people.Romanticising or vilifying stereotypical representations of Roma often imposed by non-Roma have been instrumental in generating and maintaining negative perceptions of Roma. Roma, sometimes also referred to as 'Gypsies' or 'Travellers', are subsequently often seen as a risk to societal and national security (Van Baar 2015). Even in Romani Studies, the academic area of study, Roma have often been essentialised as 'eternal Gypsy nomads' that does not reflect their lived realities (Tremlett 2009, Willems 1997). Focusing on romanticised or villified notions of a shared identity has led to Roma being conflated with a stigmatised group identity (Tremlett and McGarry 2013). This collective conception of ethnic identity has led to all members of an assumed 'group' being reduced to possessing the same set of assumed characteristics and values. In the political landscape, neoliberal nation states have over-visibilised and used Roma to generate solidarity, belonging and identity among non-Roma (McGarry 2017); yet, at the same time, actual Roma lives remain 'hard to see' (Stewart 2010) or 'invisible' (Okely 2010). With this backdrop, LGBTIQ Roma have barely existed in this research, leading to the needs of Roma remaining largely invisible to governments, institutions and service providers (Fremlova 2017). The candidate's doctoral research (2017), which addressed this empirical gap, found that LGBTIQ Roma experience many types of discrimination and multiple objectification from non-Roma and Roma. LGBTIQ Roma are associated with stigmatising conceptions of ethnicity/race, sexuality and gender identity, and their voices, their narratives and life experiences, are barely registered in public discourses. Simultaneously, being heard and visibility is key to acceptance and belonging (Fremlova 2017). This indicates that there is tension between the (in)visibilities and representations of Roma. According to Tremlett (2014), accurate understanding of Roma requires a conscious effort made by non-Roma to transcend historically constructed stereotypes about Roma whilst addressing the history of oppression that has resulted in a distorted imagery portraying Roma. Research needs to attend closely to the self-representations - narratives and self-made images - of Roma people themselves (Tremlett 2017). The question 'How can we challenge dominant representations of LGBTIQ Roma in public spaces through queer creative and discursive research-informed interventions?' will guide the proposed investigation into questioning stereotypical representations of LGBTIQ Roma through analysing existing and new photos of LGBTIQ Roma. In answer to Tremlett's (2014c, 2017) call, this project will unpack the conceptual interplay of (in)visibilities, self-representations, the everyday/ordinary, acceptance and belonging. This will be done with a view to maximising the impact of the findings of the candidate's PhD by re-engaging with some of the research participants from her PhD and engaging with new ones in a top-up research exploring the potential of visual self-representations to contextualise, critique and challenge the dominant representational canons through queer (non-normative) creative and discursive interventions. Data was generated through observation during two creative methods workshops (28-29 March and 10-15 September 2019); in four in-depth semi-structured photo elicitation interviews with key informants (17 May; 24 May; 6 June, 22 July 2019); and in a focus group (13 September 2019). The photos mentioned in the transcripts are available from the online gallery (see Related Resources).

Sexual orientation in the UK by region, sex, age, legal partnership status, and ethnic group. These are official statistics in development.

Data collected between 2014 and 2016 from self-identified lesbian, gay, bisexual, trans and queer (LGBTQ) individuals in India and the UK. This data was collected at specific workshops held in India and the UK, and via the project's website (see Related Resources).

The study used a 7 phase mixed methods design: 1. Project planning and research design, including formally establishing the advisory group and meeting 1, setting milestones and setting in place all agreements/ethical approvals 2. Literature review exploring key measures used to rate and assess LGBTQ 'friendliness'/inclusion nationally, supra-nationally and internationally 3. A spatial assessment of LGBTQ liveabilities that includes, but moves beyond, the measures identified in phase 2, applying these at a local scale e.g. policy indicators and place based cultural indicators 4. Twenty focus groups (80 participants, sample targeting marginalised LGBTQ people), coupled with online qualitative questionnaires (150), and shorter SMS text questionnaires (200)/App responses (200) to identify add to the liveability index created in phase 3 and what makes life un/liveable for a range of LGBTQ people and how this varies spatially 5. Participants in the data collection will be invited to reconfigure place through UK/India street theatre performances. These will be video recorded, edited into one short video and widely distributed. Data will be collected by observing interactions; on the spot audience surveys; reflections on the event 6. The research will analyse the data sets as they are collected. At the end of the data collection phase time will be taken to look across all 4 data sets to create a liveability index 7. Research dissemination will be targeted at community and academic audiences, including end of project conferences in India/UK, collating policy/community reports, academic outputs. The impact plan details the short (transnational support systems; empowerment of participants), medium (policy changes, inform practice) and long-term (changing perceptions of LGBTQ people) social impacts and how these will be achieved.

The main research objective is to move beyond exclusion/inclusion of Lesbian, Gay, Bisexual, Trans, Queer (LGBTQ) communities in UK and India creating a liveability model that can be adapted globally. Whilst work has been done to explore the implications of Equalities legislation, including contesting the normalisations of neo-liberalisms, there has yet to be an investigation into what might make every day spaces liveable for LGBTQ people. This project addresses social exclusion, not only through identifying exclusions, but also by exploring how life might become liveable in everyday places in two very different contexts. In 2013 the Marriage (Same Sex) Act passed in the UK, and in India the Delhi High Court's reading down Indian Penal Code 377 in 2009 to decriminalize sexual acts between consenting same-sex people was overturned by the Supreme Court. Yet bullying, mental health and safety continue to be crucial to understanding British LGBTQ lives, in contrast the overturned the revoke of Penal Code 377 2013, this has resulted in increased visibilities of LGBTQ people. These different contexts are used to explore liveable lives as more than lives that are just 'bearable' and moves beyond norms of happiness and wellbeing. This research refuses to be fixed to understanding social liberations through the exclusion/inclusion, in place/out of place dichotomies. Using commonplace to move beyond 'in place' towards being common to the place itself. Place can then be shared in common as well as collectively made in ways that do not necessarily impose normative agendas/regulatory conditionalities. Social liberations are examined in the transformation of everyday encounters without conforming to hegemonies or making 'normal' our own. Whilst the focus is sexual and gender liberations, the project will enable considerations of others social differences. It will show how places produce differential liveabilities both where legislative change has been achieved and where it has just been repealed. Thus, the project offers academic and policy insights into safety, difference and vibrant and fair societies.

Socioeconomic characteristics of the population aged 15 and older whose reported sexual orientation is lesbian or gay, bisexual or pansexual, or another sexual orientation that is not heterosexual (LGB+), by gender, age group and geographic region. 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.

The European Values Study is a large-scale, cross-national and longitudinal survey research program on how Europeans think about family, work, religion, politics, and society. Repeated every nine years in an increasing number of countries, the survey provides insights into the ideas, beliefs, preferences, attitudes, values, and opinions of citizens all over Europe.

As previous waves conducted in 1981, 1990, 1999, 2008, the fifth EVS wave maintains a persistent focus on a broad range of values. Questions are highly comparable across waves and regions, making EVS suitable for research aimed at studying trends over time.

The new wave has seen a strengthening of the methodological standards. The full release of the EVS 2017 includes data and documentation of altogether 37 participating countries. For more information, please go to the EVS website.

Morale, religious, societal, political, work, and family values of Europeans.

Topics: 1. Perceptions of life: importance of work, family, friends and acquaintances, leisure time, politics and religion; happiness; self-assessment of own health; memberships in voluntary organisations (religious or church organisations, cultural activities, trade unions, political parties or groups, environment, ecology, animal rights, professional associations, sports, recreation, or other groups, none); active or inactive membership of humanitarian or charitable organisation, consumer organisation, self-help group or mutual aid; voluntary work in the last six months; tolerance towards minorities (people of a different race, heavy drinkers, immigrants, foreign workers, drug addicts, homosexuals, Christians, Muslims, Jews, and gypsies - social distance); trust in people; estimation of people´s fair and helpful behavior; internal or external control; satisfaction with life; importance of educational goals: desirable qualities of children.

1. Work: attitude towards work (job needed to develop talents, receiving money without working is humiliating, people turn lazy not working, work is a duty towards society, work always comes first); importance of selected aspects of occupational work; give priority to nationals over foreigners as well as men over women in jobs.

2. Religion and morale: religious denomination; current and former religious denomination; current frequency of church attendance and at the age of 12; self-assessment of religiousness; belief in God, life after death, hell, heaven, and re-incarnation; personal god vs. spirit or life force; importance of God in one´s life (10-point-scale); frequency of prayers; morale attitudes (scale: claiming state benefits without entitlement, cheating on taxes, taking soft drugs, accepting a bribe, homosexuality, abortion, divorce, euthanasia, suicide, paying cash to avoid taxes, casual sex, avoiding fare on public transport, prostitution, in-vitro fertilization, political violence, death penalty).

3. Family: trust in family; most important criteria for a successful marriage or partnership (faithfulness, adequate income, good housing, sharing household chores, children, time for friends and personal hobbies); marriage is an outdated institution; attitude towards traditional understanding of one´s role of man and woman in occupation and family (gender roles); homosexual couples are as good parents as other couples; duty towards society to have children; responsibility of adult children for their parents when they are in need of long-term care; to make own parents proud is a main goal in life.

4. Politics and society: political interest; political participation; preference for individual freedom or social equality; self-assessment on a left-right continuum (10-point-scale) (left-right self-placement); individual vs. state responsibility for providing; take any job vs. right to refuse job when unemployed; competition good vs. harmful for people; equal incomes vs. incentives for individual effort; private vs. government ownership of business and industry; postmaterialism (scale); most important aims of the country for the next ten years; willingness to fight for the country; expectation of future development (less importance placed on work and greater respect for authority); trust in institutions; essential characteristics of democracy; importance of democracy for the respondent; rating democracy in own country; satisfaction with the political system in the country; preferred type of political system (strong leader, expert decisions, army should rule the country, or democracy); vote in elections on local level, national level and European level; political party with the most appeal; another political party that most appeals; assessment of country´s elections (votes are counted fairly, opposition candidates are prevented from running, TV news favors the governing party, voters are bribed, journalists provide fair coverage of elections, election officials are fair, rich people buy elections, voters are threatened with violence at the...

18 to 34 years Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Mount Gay-Shamrock, West Virginia by age, education, race, gender, work experience and more.

Dataset accompanying the publication "Modeling local variations in intermarriage". We utilized all Spanish marriage records available at the municipality level from 2005-2007 to model spatial variations in intermarriage. We constructed a spatial regime zero inflated Poisson model and grouped-data probit model, with spatially lagged regressors, to predict the absolute and relative presence of intermarriage between Spaniards and migrants based on structural characteristics of the local marriage markets and their neighboring areas (i.e., relative group size, homogeneity of national origins, and sex ratio indicators). Our models do not assume collapsibility of the marriage market. Instead, they incorporate the local dimension of the marriage mar-ket and examine the association between intermarriage and structural variables at the spatial lo-cal level. The model also investigates intermarriage variation by size of place. The local characteristics of the marriage markets are robust indicators of both the absolute and relative importance of intermarriage, but their impact varies by size of municipality. The relative size of the migrant community positively impacts intermarriage. The homogeneity of the origins of migrants is negatively related to it. The impact of sex ratios in the migrant and native communities on intermarriage is not uniform across all municipalities and is not always related to more intermarriage. Spatial regime Zero Inflated Poisson model and Grouped-data Probit model How to cite the database (APA style): Esteve A, Chasco C, López-Gay A. (2022) Modeling Local Variations in Intermarriage [Data set & Code]. (doi: https://doi.org/10.23728/b2share.36129082d0884c039a266767dd3675a1) Source: Esteve A, Chasco C, López-Gay A. (2022) Modeling Local Variations in Intermarriage. Mathematics 10(7):1106. https://doi.org/10.3390/math10071106

White Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Mount Gay-Shamrock, West Virginia by age, education, race, gender, work experience and more.

White, not Hispanic Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Mount Gay-Shamrock, West Virginia by age, education, race, gender, work experience and more.

This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. The SOERE PRO is a French research observatory on organic residues recycling in agriculture. It is a network of long-term field experiments, including QualiAgro and PROspective devices, which has been created to evaluate benefits and risks associated with organic residue (OR) application in agriculture. It has been certified as SOERE PRO (a network of long-term experiments dedicated to the study of impacts of organic waste product recycling) in 2011 and 2015 by ALLENVI (Alliance Nationale de Recherche pour l'Environnement). Since 2014, it has also been integrated as a service of the ‘‘Investment for future’’ infrastructure AnaEE-France, overseen by the French National Research Agency (ANR-11-INBS-0001). In 2018, it has been certified as Collective Scientific Infrastructure by the INRA (National Institute for Agricultural Research). QualiAgro which has been initiated in 1998 is located in the Paris Bassin. The objectives are to characterize the agronomic value of composts from the urban origin and their environmental impacts. The field experimental design is a complete randomized block experiment with 450 m² plots and four replicates of five organic treatments: three urban composts (municipal solid waste, MSW; green waste and sludge, GWS; biowaste, BIOW), farmyard manure as organic control treatment (FYM) and a control without organic inputs (CN). QualiAgro data included in the H2020 Landmark project were the physico-chemical properties of soils sampled in 2015, field management practices and yields for the period 2010-2015. PROspective which has been initiated in 2000 is located in Colmar (Est of France). The objectives are to characterize the agronomic value of composts and the environmental impacts of 3 different types of ORs frequently amended in Est of France and to highlight the composting effect on these impacts. PROspective data included in the H2020 Landmark project were the physico-chemical properties of soils sampled in 2018, field management practices and yields for the period 2014-2018. 2 tables provided by France are available: One table of fact-gathering the results of the chemical and physical analyses of the soil profiles and monitoring. One table of fact-gathering the results of the cultural management practices related to soil data. Both tables are connected with the same id attribute. To link soil data to management practices, you just need to use the "profile_id" of the soil table and the "management_id" of the management table. For soil data, the same id may come more than one time if multiple layers are described. Moreover, the names of the crops have been coded into the management table with the "Eurostat Handbook for Annual Crop Statistics (Regulation (EC) No 543/2009, Commission Delegated Regulation (EU) 2015/1557 and ESS agreement for Annual Crop Statistics) - Revision 2017 - (Released 9 February 2017)". All the codes and their meaning are into the table "eurostat_crops_list".

This dataset contains Hospital Supplier Diversity Plans. As outlined in Health and Safety Code Section 1339.85-1339.87, licensed hospitals with operating expenses of fifty million dollars ($50,000,000) or more, and each licensed hospital with operating expenses of twenty-five million dollars ($25,000,000) or more that is part of a hospital system, shall submit an annual report to the department on its minority, women, LGBT, and disabled veteran business enterprise procurement efforts during the previous year. Details on reporting requirements can be found in Section 1339.87. For more on Hospital Supplier Diversity Plans. Data notes: The information contained in a hospital’s plan on minority, women, LGBT, and disabled veteran business enterprises is provided for informational purposes only. Suppliers are not required to disclose the above information to hospitals, and therefore not all diverse spending will be accurately identified.

Description: The data set consists of 21 transcribed interviews in which 24 gay men were interviewed. 18 of the interviews were one-on-one interviews whilst couples were interviewed in 3 interviews. Abstract: The focus of this research project is on planned same-gendered families and centres on the parenthood decisions (i.e., the choice of whether or not to be a father and associated decisions) of gay or bisexual identified men. This research focus is underpinned by the principle of reproductive justice. It is motivated by the marginal position that these men occupy both socially and in research on fatherhood and reproductive decision-making, especially in a South African context. More information is needed on gay and bisexual men in this regard, in order to advocate for their sexual and reproductive needs as well as to address the discrimination that they often face in relation to their pathways to parenthood. As a result of this overarching objective, the proposed study is exploratory in nature and, using qualitative methods, is intended to provide rich, detailed information that can inform future research. It is also aimed at informing advocacy and intervention. The researchers will seek to: Explore gay/bisexual men's thoughts, feelings and perspectives toward fatherhood. How do these men think and feel about having children? What does 'family' mean to them? Understand gay/bisexual men's fatherhood decisions. How do these men go about deciding to become parents or not? Locate decision-making within the broader South African environment and investigate how this impacts upon the men in the study. What are their experiences in relation to their paths toward non/parenthood? Mobilise the knowledge generated for awareness raising, interventions, advocacy and community engagement.

About this dataset

Context

The dataset tabulates the data for the Fort Gay, WV population pyramid, which represents the Fort Gay population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Fort Gay, WV, is 23.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Fort Gay, WV, is 34.0.
• Total dependency ratio for Fort Gay, WV is 57.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Fort Gay, WV is 2.9.

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

Variables / Data Columns

• Age Group: This column displays the age group for the Fort Gay population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Fort Gay for the selected age group is shown in the following column.
• Population (Female): The female population in the Fort Gay for the selected age group is shown in the following column.
• Total Population: The total population of the Fort Gay for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Fort Gay Population by Age. You can refer the same here