About this dataset

Context

The dataset tabulates the Gay population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Gay across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Gay was 116, a 4.13% decrease year-by-year from 2022. Previously, in 2022, Gay population was 121, an increase of 5.22% compared to a population of 115 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Gay decreased by 37. In this period, the peak population was 153 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Gay is shown in this column.
• Year on Year Change: This column displays the change in Gay population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Year. You can refer the same here

According to a global survey conducted in 2021, three in 10 respondents had at least once spoken out against someone who was being prejudiced against LGBT+ people. In addition, some 13 percent attended a public event in support of LGBT+ people, e.g. a Pride march.

20,000 Dear Abby Questions

1985-2017 Questions on Sex, LGBTQ Issues, Religion and Relationships

By Kelly Garrett [source]

About this dataset

This dataset contains 20,000+ questions submitted to the iconic advice columnist and agony aunt, Dear Abby. Drawing from articles published around the United States between 1985 to 2017, this data reveals a wealth of information about the anxieties and concerns of ordinary citizens during that time period.

The topics covered can be grouped into three main categories: sex education and relationships; LGBTQ issues; and religious queries. Questions regarding parents, children, friends, bosses, etc fill out the rest of our corpus. This data offers an interesting glimpse into the collective experiences of people living in America during these decades - showing how different issues have risen up over time or evolved in their representation - as well as offering insights on how people resorted to Dear Abby for advice on problems both mundane and extraordinary during these years.

If you're looking for meaningful datasets with conversations on human connection or seeking a better understanding of American history beyond current headlines - then this is your one-stop source! Explore all that this data has to offer by discovering trends within it. License information can be found here: LICENSE. Enjoy!

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For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

• Start by Familiarizing Yourself with The Dataset: Before diving too deep into the data it's important to take some time familiarize yourself with the columns available and their corresponding data. This includes year, month day and url which provide information about when and where the particular question was published; as well as title which provides overlap about when/where a question was published; and lastly question_only which includes only the text of each individual submitted question itself.

• Consider Your Topic: Think broadly about what you are most interested in exploring through this data as it gives us direct insight into topics that Americans have been struggling with over time (such as LGBTQ issues or religion). Some ideas for questions might include “how has anxiety around a certain topic changed over time?” or “what are people most struggling with today?” Also consider specific keywords related to your topic – Dear Abby discussions sex may include words such as sexual harassment or infidelity while keywords exploring LGBTQ issues may include transgender or same-sex marriage – since you’ll likely use them in your analysis moving forward!

• Perform Your Analysis: Now that you know what columns matter most & what questions you want answered; it’s time to start performing your analysis! In order to get meaningful results out of your findings be sure make sure measure several points (e.g., mean values) along larger trends over different timelines throughout history such as 5 year intervals or looking at specific decades on their own). You can also manually group questions into categories when appropriate so that navigating complex topics becomes easier & more streamlined from an end user perspective (or further pursue techniques like t-SNE).

• Visualize Your Findings: Use any form of visualization tools (such trends graphs/charts) – e specially those available through Kaggle – for easier consumption of whatever insights its pulled out form these 20k submissions! As mentioned before these visualizations will allow you understand macro (& micro!) trends between a given topic an countless other social ones without having read even 1 entire single letter yourself .

5 . Share Your Insights : It isn't just enough knowing how Americans felt during certain

Research Ideas

• Social and Cultural Trends Analysis: This data can be used to analyze the changes in social and cultural trends over the 30-year period, such as identifying topics that were more prominent at certain times.
• Characterization of Reader Demographics: By analysing this dataset, we can gain insight into the demographics of Dear Abby's readers (e.g., age groupings, gender, location).
• Building a Natural Language Understanding Model: The data can be used to create a natural language understanding model that could accurately predict answers based on questions submitted by readers

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the d...

LGBT+ rights are human rights that all lesbian, gay, bisexual, transgender and other people outside traditional sexuality and gender categories have. But in practice, these rights are often not protected to the same extent as the rights of straight and cisgender people.

Among others, LGBT+ rights include: physical integrity rights, such as not being executed for their sexuality or gender and not being subjected to conversion therapies; social rights, such as changing their legal gender, being sexually intimate, marrying, and adopting children with people of the same sex; economic rights such as not being discriminated at work; and political rights, such as being able to advocate for themselves and their communities publicly.

The protection of these rights allows LGBT+ people to live the lives they want and to thrive in them.

On this dataset, you can find data and visualizations on how the protection of LGBT+ rights has changed over time, and how it differs across countries.

Original data

Acknowlegement

Foto von Jiroe (Matia Rengel) auf Unsplash

Context

Every year, along with the State-Sponsored Homophobia report, ILGA World publishes also maps of sexual orientation laws in the world.

https://ilga.org/maps-sexual-orientation-laws

Content

A useful tool for LGB human rights defenders, these images expose the arbitrariness of persecutory laws, and starkly indicate the absence of positive law in most parts of the world.

https://ilga.org/maps-sexual-orientation-laws

Acknowledgements

https://ilga.org/maps-sexual-orientation-laws

Photo by Sharon McCutcheon on Unsplash

Inspiration

LGBTQIA community.

"The negative attitudes and feelings toward homosexuality or people who are identified or perceived as being lesbian, gay, bisexual or transgender (LGBT). The prejudice, aversion, hatred or antipathy, may be based on irrational fear and ignorance, and is often related to religious beliefs against LGBTQIA community." https://en.wikipedia.org/wiki/Homophobia

The Dating Apps for LGBT People market has evolved significantly over the past decade, becoming a vital platform for fostering connections and relationships within the LGBTQ+ community. As societal acceptance continues to grow, so does the demand for safe and inclusive dating experiences. According to the latest rep

BackgroundThe global population of individuals with gender diversity or LGBTQ+ people is on the rise. However, negative attitudes towards LGBTQ+ individuals persist, even among healthcare professionals, creating barriers to healthcare access. These attitudes are influenced by cultural variations worldwide and necessitate investigation across diverse cultures and settings.ObjectivesThis study aimed to evaluate the attitudes towards LGBTQ+ people and describe associated factors with being LGBTQ+ among Thai medical students.MethodsDuring the 2021 academic year, a survey was conducted at a medical school in Bangkok, Thailand, collecting demographic data and attitudes measured by a standardised Thai questionnaire. Descriptive statistics as well as bivariate and multivariable logistic regression analyses were used to describe characteristics and association.ResultsA total of 806 medical students participated, with a neutral attitude being the most prevalent (72.2%), followed by a positive attitude (27.2%), and a minority reporting a negative attitude (0.6%). Bivariate and multivariable logistic regression analyses revealed significant associations between positive attitudes and female sexual identity (aOR 2.02, 95%CI 1.45–2.81, p-value < 0.001), having LGBTQ+ family members (aOR 3.57, 95%CI 1.23–10.34, p-value = 0.019), having LGBTQ+ friend (aOR 1.46, 95%CI 1.02–2.11, p-value = 0.040), and coming from areas outside of Bangkok (aOR 1.41, 95%CI 1.01–1.97, p-value = 0.043).ConclusionPositive attitude towards the LGBTQ+ community are essential for physicians, emphasising the need to study factors that contribute to positive attitudes in order to foster an LGBTQ+-friendly environment for both patients and medical students.

American Anxieties: Dear Abby's Questions

20,000 Questions to Dear Abby: Insights on American Anxieties

By Kelly Garrett [source]

About this dataset

This dataset is a collection of 20,000 questions addressed to the advice columnist Dear Abby, providing valuable insights into American anxieties and concerns from the mid-1980s to 2017. It was used in The Pudding essay titled 30 Years of American Anxieties: What 20,000 letters to an advice columnist tell us about what—and who—concerns us most, published in November 2018.

The dataset includes information such as the URL and title of the articles or publications where the questions were published. It also contains the text of the questions asked by readers. These questions were publicly available on websites as well as obtained from digital copies of newspapers that included Dear Abby sections.

It is important to note that this dataset does not include any updates.

The writers of these questions are predominantly female (approximately two-thirds) based on demographics mentioned by Pauline Phillips, which were collected through a survey she conducted in 1987. However, there is limited information available about their origins or other demographic data. Additionally, it should be acknowledged that only a fraction of all written-in questions were published because advice columnists selectively choose which ones to feature.

Despite these limitations, this dataset offers a glimpse into important societal concerns over time. For instance, it reflects issues like the HIV/AIDS crisis during the 1980s. With over 20,000 questions spanning several decades, it provides a directional understanding of broader trends.

The essay based on this dataset highlighted three main themes: sex, LGBTQ issues, and religion. To analyze these topics further, relevant keywords were used for each issue to create broad groupings and then narrow down into specific categories.

In addition to these themes, questions related to parents, children friends and bosses were also explored using a visual clustering technique called t-SNE (t-distributed Stochastic Neighbor Embedding). Manual categorization was also employed by tagging relevant entries within those groupings.

It's important to note that the dataset does not include any information about the dates of publication or data collection.

Overall, this dataset provides a comprehensive view of American anxieties and concerns over several decades, offering insights into cultural shifts and societal issues

How to use the dataset

• Understanding the Columns: The dataset consists of several columns that provide valuable information about each question.

  • question_only: This column contains the text of the question asked by the reader.
  • title: This column contains the title or headline of the article or publication where the question was published.
  • url: This column contains the URL of the article or publication where the question was published.

• Analyzing Specific Topics: The dataset covers various topics that were concerning Americans during this time period. You can use specific keywords related to these topics in combination with text analysis techniques to gain insights into public concerns and attitudes.

  Common themes covered in this dataset include sex, LGBTQ issues, religion, parents, children, friends, and bosses.

• Keyword Analysis: To analyze specific topics or themes within this dataset effectively, it is recommended to create a list of relevant keywords related to your research interests. These keywords can be used for filtering and searching within columns like question_only or title.

• Text Analysis Techniques: You can apply various text analysis techniques on this dataset such as sentiment analysis, topic modeling (using methods like Latent Dirichlet Allocation), word frequency analysis, sentiment analysis etc., based on your research goals.

• Visualizations and Clustering: If you are interested in exploring patterns or trends in relationship between different variables present in each question (such as topic clustering), you can utilize visualization techniques like t-SNE to create visual representations.

  You can also apply other clustering algorithms or network analysis techniques to gain additional insights from the dataset.

Remember to acknowledge the source when using this dataset: The Pudding essay 30 Years of American Anxieties: What 20,000 letters to an advice columnist tell us about what—and who—concerns us most. published in November 2018.

Plea...

In 2024, 14.2 percent of Millennials in the United States stated that they identify as LGBTQ+, while in 2012, less than six percent of respondents from the same generation said the same. Members of Generation Z were the most likely to identify as LGBTQ+, at over 23 percent.

In 2022, around 80 percent of transgender people in the United States had considered suicide, while around 40 percent had attempted suicide. There has been an upward trend in both the considered and attempted suicide rate since 2000, when 61 percent of transgender people considered committing suicide and 28 percent had attempted it.