About this dataset

Context

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

Key observations

Largest age group (population): Male # 20-24 years (187) | Female # 25-29 years (146). 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 Florida population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Florida is shown in the following column.
• Population (Female): The female population in the Florida 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 Florida 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 Florida Population by Gender. You can refer the same here

In 2024, a global developer survey revealed that approximately 80 percent of the developers identified as male, while the share of female developers globally stood at around 19 percent. This majority representation of males in the developer community underscores the historical trend of male dominance in the tech industry and highlights the challenges and barriers that women may face in entering or advancing in this field.

From the season 2017/18 to 2023/24, the share of female speaking characters on broadcast and streaming programs in the United States decreased to 43.4 percent in the most recent season. By contrast, in 2017/18, 41 percent of speaking characters were women.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 70-74 years (477) | Female # 65-69 years (357). 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 Taos population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Taos is shown in the following column.
• Population (Female): The female population in the Taos 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 Taos 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 Taos Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 5-9 years (65) | Female # 50-54 years (48). 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 Daniel population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Daniel is shown in the following column.
• Population (Female): The female population in the Daniel 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 Daniel 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 Daniel Population by Gender. You can refer the same here

As of February 2025, approximately 44.3 percent of TikTok global users were women. By comparison, male users on the popular social video platform were 55.7 percent of the total. TikTok generated 186 million downloads from global users during the last quarter of 2024. TikTok’s popularity TikTok's popularity continues to expand globally, with countries like Saudi Arabia, the United Arab Emirates, and Malaysia presenting a reach of virtually over 100 percent as of the end of 2023. In October 2023, the social video platform boasted over 1.2 billion active monthly users, of which United States users represented the largest audience worldwide. U.S. users were particularly active on the platform, spending 32 percent of their online time engaging with TikTok as of February 2023. TikTok’s global revenue TikTok rapidly increased its revenue in the past years. In the third quarter of 2023, TikTok generated 681 million U.S. dollars in revenues from users worldwide. In 2024, it is projected that the social video platform will reach global ad revenue close to 18.5 billion.

As of February 2025, approximately 54 percent of YouTube users were male. By comparison, female users on the popular social video platform were approximately 46 percent of the total. In the last examined period, the United Arab Emirates and Israel were among the country with the highest YouTube penetration worldwide.

In Autumn 2024, among the students enrolled in the highest ranked university in the world, Oxford in the United Kingdom, 51 percent were female. See here for an overview of the highest-ranked universities in the world.

As of January 2024, Instagram was slightly more popular with men than women, with men accounting for 50.6 percent of the platform’s global users. Additionally, the social media app was most popular amongst younger audiences, with almost 32 percent of users aged between 18 and 24 years. Instagram’s Global Audience As of January 2024, Instagram was the fourth most popular social media platform globally, reaching two billion monthly active users (MAU). This number is projected to keep growing with no signs of slowing down, which is not a surprise as the global online social penetration rate across all regions is constantly increasing. As of January 2024, the country with the largest Instagram audience was India with 362.9 million users, followed by the United States with 169.7 million users. Who is winning over the generations? Even though Instagram’s audience is almost twice the size of TikTok’s on a global scale, TikTok has shown itself to be a fierce competitor, particularly amongst younger audiences. TikTok was the most downloaded mobile app globally in 2022, generating 672 million downloads. As of 2022, Generation Z in the United States spent more time on TikTok than on Instagram monthly.

In the United States, the large majority of registered nurses were women. From 2014 to 2021, only one out of ten registered nurses were men. Although nursing remains predominately a female profession, the share of male registered nurses has slightly increased over the years.

In 2024, South Carolina and the District of Columbia's tech sector workforce had the greatest gender balance, with 61 percent male and 39 percent female. Wyoming had the least share of women among other states for tech sector workers that year, with women representing around 29 percent. Overall, the female workforce made up around one third of the tech workforce in the United States.

Women accounted for 22 percent of the behind-the-scenes professionals working in Hollywood's top 250 films in 2023. More than a quarter of producers behind the United States' highest-grossing movies were female in 2023.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 40-44 years (17) | Female # 40-44 years (18). 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 Alicia population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Alicia is shown in the following column.
• Population (Female): The female population in the Alicia 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 Alicia 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 Alicia Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 30-34 years (1.53 million) | Female # 30-34 years (1.43 million). 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 California population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the California is shown in the following column.
• Population (Female): The female population in the California 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 California 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 California Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 40-44 years (190) | Female # 40-44 years (218). 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 Brandenburg population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Brandenburg is shown in the following column.
• Population (Female): The female population in the Brandenburg 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 Brandenburg 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 Brandenburg Population by Gender. You can refer the same here

As of January 2024, 56.8 percent Facebook's audience were male and 43.2 percent were female. By the end of 2023, Facebook had over three billion monthly active users (MAU).

The Chinese Twitter-like site Weibo has attracted about 605 million monthly active users across the world. Female and male users distributed quite evenly on the platform with the former accounting for 51 percent, as of the third quarter of 2023.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 70-74 years (382) | Female # 15-19 years (302). 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 Blaine population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Blaine is shown in the following column.
• Population (Female): The female population in the Blaine 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 Blaine 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 Blaine Population by Gender. You can refer the same here

The male-female ratio in Mexico City increased by 1.4 men per 100 women (+1.55 percent) in 2020 in comparison to the previous observation. In total, the ratio amounted to 91.67 men per 100 women in 2020. This increase was preceded by a declining ratio. Over the observed period, the ratio has been subject to fluctuation.For more insights about the male-female ratio consider different countries: In 2020, in comparison to Mexico City, the ratio in Tlaxcala as well as in Quintana Roo was higher.

Across the Ivy League, more females than males tended to be enrolled in the Class of 2028 (those entering in the Fall of 2024). At Columbia University, 51 percent of the freshman class in Fall 2024 (the Class of 2028) was female, compared to 47 percent of male students and two percent of students who identified as transgender or non-binary.