The total population in the United States was estimated at 341.2 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - United States Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 55-59 years (321) | Female # 10-14 years (340). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

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

Scope of gender :

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

Variables / Data Columns

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

About this dataset

Context

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

Key observations

Largest age group (population): Male # 25-29 years (340) | Female # 55-59 years (345). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

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

Scope of gender :

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

Variables / Data Columns

• Age Group: This column displays the age group for the Pittstown town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Pittstown town is shown in the following column.
• Population (Female): The female population in the Pittstown 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 Pittstown 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 Pittstown town Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 25-29 years (340) | Female # 60-64 years (279). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

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

Scope of gender :

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

Variables / Data Columns

• Age Group: This column displays the age group for the Westmoreland town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Westmoreland town is shown in the following column.
• Population (Female): The female population in the Westmoreland 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 Westmoreland 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 Westmoreland town Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 10-14 years (340) | Female # 60-64 years (317). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

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

Scope of gender :

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

Variables / Data Columns

• Age Group: This column displays the age group for the North Syracuse population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the North Syracuse is shown in the following column.
• Population (Female): The female population in the North Syracuse 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 Syracuse 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 Syracuse Population by Gender. You can refer the same here

In 1910, modern-day Hungary was a part of the much larger Austro-Hungarian Empire, however this information relates only to the Trianon area, which is what we call Hungary today. In 1910 the population of men and women was very similar, with both figures around 3.8 million people, however the impact of WWI means that the number of women is 330 thousand greater than the number of men in 1920. Although the graph does not show us the total number of Hungarian people who fell in WWI, it does show us the long-term effect that the war had on the population.

This trend is repeated in the Second World War, however to a larger extent. From the graph we can see that both populations grew gradually in the inter-war years, however the growth rate of both genders falls greatly, and the total number of men falls from by 70 thousand people in the 1940s. Again, the graph does not show us the total number who fell during the war, as the interval between the figures is too large, however it does show the long term impacts of the war.

After WWII we can see that the difference between men and women is now 335 thousand in 1950, and the difference remains around this number until 1980 when both populations begin to decline. The number of men drops continuously from 5.2 million in 1980 to 4.7 million in 2015, and the number of women drops from 5.6 to 5.1 million during this time, although it does grow between 1990 and 1995 before falling again. The difference in populations also grows throughout this time from 340 thousand people to 520 thousand people. This decline in population is due to a number of factors, most notably the decreasing birthrate, economic emigration and strict anti-immigration policies against non-EU citizens. The number of men is also decreasing at a faster rate than the number of women, as men are statistically more likely to migrate in search of work.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 25-29 years (333) | Female # 65-69 years (340). 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 Green Tree population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Green Tree is shown in the following column.
• Population (Female): The female population in the Green Tree 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 Green Tree 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 Green Tree Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 35-39 years (344) | Female # 60-64 years (340). 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 Palmyra town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Palmyra town is shown in the following column.
• Population (Female): The female population in the Palmyra 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 Palmyra 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 Palmyra town Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 35-39 years (340) | Female # 25-29 years (252). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

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

Scope of gender :

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

Variables / Data Columns

• Age Group: This column displays the age group for the Island Park population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Island Park is shown in the following column.
• Population (Female): The female population in the Island Park 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 Island Park 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 Island Park Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 50-54 years (233) | Female # 45-49 years (340). 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 Rocky Mount population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Rocky Mount is shown in the following column.
• Population (Female): The female population in the Rocky Mount 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 Rocky Mount 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 Rocky Mount Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 25-29 years (340) | Female # 20-24 years (295). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

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

Scope of gender :

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

Variables / Data Columns

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

About this dataset

Context

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

Key observations

Largest age group (population): Male # 10-14 years (300) | Female # 65-69 years (340). 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 Madison town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Madison town is shown in the following column.
• Population (Female): The female population in the Madison 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 Madison 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 Madison town Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 20-24 years (393) | Female # 85+ years (340). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

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

Scope of gender :

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

Variables / Data Columns

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

About this dataset

Context

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

Key observations

Largest age group (population): Male # 55-59 years (265) | Female # 15-19 years (340). 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 Sidney population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Sidney is shown in the following column.
• Population (Female): The female population in the Sidney 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 Sidney 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 Sidney Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 55-59 years (340) | Female # 25-29 years (361). 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 Trumann population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Trumann is shown in the following column.
• Population (Female): The female population in the Trumann 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 Trumann 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 Trumann Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (340) | Female # 60-64 years (282). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

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

Scope of gender :

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

Variables / Data Columns

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

About this dataset

Context

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

Key observations

Largest age group (population): Male # 0-4 years (410) | Female # 25-29 years (340). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

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

Scope of gender :

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

Variables / Data Columns

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

About this dataset

Context

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

Key observations

Largest age group (population): Male # 65-69 years (324) | Female # 65-69 years (340). 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 Manchester population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Manchester is shown in the following column.
• Population (Female): The female population in the Manchester 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 Manchester 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 Manchester Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 30-34 years (461) | Female # 25-29 years (340). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

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

Scope of gender :

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

Variables / Data Columns

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

About this dataset

Context

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

Key observations

Largest age group (population): Male # 20-24 years (340) | Female # 15-19 years (450). 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 Waite Park population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Waite Park is shown in the following column.
• Population (Female): The female population in the Waite Park 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 Waite Park 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 Waite Park Population by Gender. You can refer the same here