As of September 2023, 29 percent of Facebook users in the United States were aged 30 to 39 years, while a further 29 percent of users were aged 50 to 64 years, making these demographics the biggest audiences of the online network in the country. Meta’s Instagram was also popular among users aged 30 to 39 years, who accounted for 32 percent of the audience of the photo-based platform, while those aged 18 to 29 years accounted for another third of the network’s U.S. users. Overall, TikTok and Snapchat were the most popular social media platforms amongst younger audiences, while LinkedIn was the least used platform by those aged 18 to 29 in the United States as of 2023.

The social media market in the United States

The number of social media users in the United States has shown continuous growth in the past years, and it is forecast to continue increasing to reach 342 million users in 2029. As of 2023, the social network user penetration in the United States amounted to an impressive 91.56 percent, meaning that more than nine in ten people in the country engaged with online platforms. Furthermore, Facebook was by far the most popular social media platform in the United States, accounting for 45 percent of all social media visits in 2023, followed by Pinterest with 21.2 percent of visits.

The global social media landscape

As of April 2024, 5.07 billion people were social media users, accounting for 62.6 percent of the world’s population. Northern Europe was the region with the highest social media penetration rate with a reach of 80.2 percent, followed by Western Europe with 78.2 percent and Eastern Asia 74.9 percent. In contrast, less than one in ten people in Middle Africa used social networks. Facebook’s popularity is not limited to the United States: this network leads the market on a global scale, and it accumulated more than three billion monthly active users (MAU) as of 2024, which is far more any other social media platform. 272014 YouTube, Instagram, and WhatsApp followed, all with two billion or more MAU.

As of January 2025, 24.2 percent of Facebook users in the United States were aged between 25 and 34 years, making up Facebook’s largest audience in the country. Overall, 19 percent of users belonged to the 18 to 24-year age group. Does everyone in the U.S. use Facebook? In 2023, there were approximately 247 million Facebook users in the U.S., a figure which is projected to steadily increase, and reach 262.8 million by 2028. Social media users in the United States have a very high awareness of the social media giant. Expectedly, 94 percent of users had heard of the brand in 2023. Although the vast majority of U.S. social networkers knew of Facebook, the likeability of the platform was not so impressive at 68 percent. Nonetheless, usage, loyalty, and buzz around the brand remained relatively high. Facebook, Meta, and the metaverse A strategic rebranding from Facebook to Meta Platforms in late 2021 boded well for the company in Mark Zuckerberg’s attempt to be strongly linked to the metaverse, and to be considered more than just a social media company. According to a survey conducted in the U.S. in early 2022, Meta Platforms is the brand that Americans most associated with the metaverse.  

As of April 2024, almost 32 percent of global Instagram audiences were aged between 18 and 24 years, and 30.6 percent of users were aged between 25 and 34 years. Overall, 16 percent of users belonged to the 35 to 44 year age group. Instagram users With roughly one billion monthly active users, Instagram belongs to the most popular social networks worldwide. The social photo sharing app is especially popular in India and in the United States, which have respectively 362.9 million and 169.7 million Instagram users each. Instagram features One of the most popular features of Instagram is Stories. Users can post photos and videos to their Stories stream and the content is live for others to view for 24 hours before it disappears. In January 2019, the company reported that there were 500 million daily active Instagram Stories users. Instagram Stories directly competes with Snapchat, another photo sharing app that initially became famous due to it’s “vanishing photos” feature. As of the second quarter of 2021, Snapchat had 293 million daily active users.

As of January 2025, 28.3 percent of Instagram users in the United States were aged between 25 and 34 years, making up the platform’s largest audience in the country. Overall, the group with the second-highest usage was those aged 18 to 24 years, with 26.5 percent of users, followed by 19.4 percent that were aged 35 to 44 years. The age group that used Instagram the least was those older than 65 years, making up 5.8 percent of users, respectively. Popular social media platforms in the United States Instagram was the third most visited social media platform in the United States as of March 2024 across desktop, mobile, and tablet devices combined, accounting for 14.13 percent of all social media visits in the country. Despite Instagram’s popularity, Facebook remained the leading social media platform by far in the U.S., accounting for almost 50 percent of all social media visits. Pinterest and X (formerly Twitter) ranked second and fourth in terms of visits, with 21.2 percent and 10.91 percent of visits, respectively. Instagram’s global audience Instagram’s global popularity continues to surge, with no signs of slowing down. As of January 2024, the country with the largest Instagram audience was India with 362.9 million users, while the United States had the second-highest market with 169.65 million users, followed by Brazil, Indonesia, and Turkey, respectively. As of April 2024, Instagram was the third most popular social network globally, reaching two billion monthly active users.

About this dataset

Context

The dataset tabulates the Good Hope population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Good Hope. The dataset can be utilized to understand the population distribution of Good Hope by age. For example, using this dataset, we can identify the largest age group in Good Hope.

Key observations

The largest age group in Good Hope, GA was for the group of age 30 to 34 years years with a population of 59 (12.32%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Good Hope, GA was the 80 to 84 years years with a population of 8 (1.67%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Good Hope is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Good Hope 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 Good Hope Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Good Hope, AL population pyramid, which represents the Good Hope 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 Good Hope, AL, is 50.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Good Hope, AL, is 19.8.
• Total dependency ratio for Good Hope, AL is 70.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Good Hope, AL is 5.1.

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 Good Hope population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Good Hope for the selected age group is shown in the following column.
• Population (Female): The female population in the Good Hope for the selected age group is shown in the following column.
• Total Population: The total population of the Good Hope 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 Good Hope Population by Age. You can refer the same here

As of February 2024, over a third of online users worldwide were aged between 25 and 34 years. Website visitors in this age bracket constituted the biggest group of online users worldwide. Also, 19 percent of global online users were aged 18 to 24 years. The global digital population aged 65 or older represented approximately 4.2 percent of all internet users worldwide. Social media usage and Meta Social media is a major driver of internet use, with a global penetration rate of 62.2 percent. On average, internet users spend 143 minutes per day on social media, highlighting its significant impact on daily online activities. The usage of social media is mostly dominated by Meta platforms, which own four of the largest social media platforms. Facebook leads the ranking with over three billion active users, followed by Instagram and WhatsApp. Instagram's global popularity Meta’s social video platform, Instagram, had long been one of the most engaging social media platforms worldwide, and it was projected to reach 1.44 billion monthly active users. Instagram was particularly favored by users aged 18 to 34, thanks to its ability to offer a variety of interactive content, from images and carousels. This diverse range of content types was a key factor in its popularity among its young user base.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 55-59 years (61) | Female # 55-59 years (25). 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 Good Thunder population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Good Thunder is shown in the following column.
• Population (Female): The female population in the Good Thunder 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 Good Thunder 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 Good Thunder Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 5-9 years (96) | Female # 60-64 years (136). 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 Great Valley town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Great Valley town is shown in the following column.
• Population (Female): The female population in the Great Valley town 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 Great Valley town 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 Great Valley town Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 50-54 years (7) | Female # 50-54 years (3). 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 Great Bend population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Great Bend is shown in the following column.
• Population (Female): The female population in the Great Bend 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 Great Bend 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 Great Bend Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 65-69 years (25) | Female # 30-34 years (38). 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 Good Hope population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Good Hope is shown in the following column.
• Population (Female): The female population in the Good Hope 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 Good Hope 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 Good Hope Population by Gender. You can refer the same here

As of April 2024, 36.6 percent of X’s (formerly Twitter) global audience was aged between 25 and 34 years. The second-largest age group demographic on the platform was represented by users aged between 18 and 24 years, with a share of 34.2 percent. Users aged less than 18 years accounted for 2.4 percent of users, while those aged 50 or older accounted for roughly seven percent.

X is a male-dominated platform

As of January 2024, more than 60 percent of X users were male. Although all mainstream social media platforms tend to have a slightly more male-skewing audience, X stands out above Instagram, Snapchat, TikTok, and Facebook when it comes to user gender demographics. Overall, Pinterest is the only mainstream platform to have a higher share of female users.

X Blue for you

It is not uncommon for social media users to now have the chance to become subscribers of their chosen online networks for a monthly fee. X Blue is a subscription service from X that gives users special benefits and features. A blue verification mark, edit post functionality, fewer ads, priority ranking in chats, and longer video upload times are some of the perks offered.

About this dataset

Context

The dataset tabulates the Good Hope township population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Good Hope township. The dataset can be utilized to understand the population distribution of Good Hope township by age. For example, using this dataset, we can identify the largest age group in Good Hope township.

Key observations

The largest age group in Good Hope township, Itasca County, Minnesota was for the group of age 60 to 64 years years with a population of 14 (16.67%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Good Hope township, Itasca County, Minnesota was the 5 to 9 years years with a population of 0 (0%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Good Hope township is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Good Hope township 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 Good Hope township Population by Age. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (17) | Female # 40-44 years (10). 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 North Buena Vista population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the North Buena Vista is shown in the following column.
• Population (Female): The female population in the North Buena Vista 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 North Buena Vista 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 North Buena Vista Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (156) | Female # 55-59 years (135). 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 Orchard Lake Village population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Orchard Lake Village is shown in the following column.
• Population (Female): The female population in the Orchard Lake Village 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 Orchard Lake Village 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 Orchard Lake Village Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 15-19 years (97) | Female # 45-49 years (114). 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 State Center population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the State Center is shown in the following column.
• Population (Female): The female population in the State Center 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 State Center 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 State Center Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 45-49 years (16) | Female # 85+ years (16). 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 Watts population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Watts is shown in the following column.
• Population (Female): The female population in the Watts 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 Watts 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 Watts Population by Gender. You can refer the same here

As of January 2025, users aged 25 to 34 years made up Facebook's largest audience in the United States, accounting for 24.2 percent of the social network's user base, with 12.3 percent of those users being women. Overall, 9.7 percent of users aged 35 to 44 years were women, and 9.3 percent were men. How many people use Facebook in the United States? Facebook is by far the most used social network in the world and finds a huge share of its audience in the United States. Facebook’s U.S. audience size comes second only to India. In 2023, there were over 246 million Facebook users in the U.S. By 2028, it is estimated that around 263 million people in the U.S. will be signed up for the platform. How do users in the United States view the platform? Although Facebook is widely used and very popular with U.S. consumers, there are issues of trust with its North American audience. As of November 2021, 72 percent of respondents reported that they did not trust Facebook with their personal data. Despite having privacy doubts, a May 2022 survey found that 20 percent of adults had a very favorable opinion of Facebook, and one-third held a somewhat positive view of the platform.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 35-39 years (1,094) | Female # 35-39 years (1,221). 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 Milwaukie population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Milwaukie is shown in the following column.
• Population (Female): The female population in the Milwaukie 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 Milwaukie 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 Milwaukie Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 45-49 years (363) | Female # 45-49 years (375). 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 River Rouge population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the River Rouge is shown in the following column.
• Population (Female): The female population in the River Rouge 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 River Rouge 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 River Rouge Population by Gender. You can refer the same here