In 2023, there were about 72.7 million Millennials estimated to be living in the United States, making them the largest generation group in the country. In comparison, there were 69.31 million Gen Z and 65.35 million Gen X estimated to be in the United States in that year.

In 2023, half of Generation Z in the United States were white. In comparison, 48 percent of Gen Alpha were white in that year, making it the first generation that does not have a majority white population in the United States.

About this dataset

Context

The dataset tabulates the Ohio 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 Ohio. The dataset can be utilized to understand the population distribution of Ohio by age. For example, using this dataset, we can identify the largest age group in Ohio.

Key observations

The largest age group in Ohio was for the group of age 60 to 64 years years with a population of 801,454 (6.80%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Ohio was the 80 to 84 years years with a population of 237,360 (2.01%). 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 Ohio is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Ohio 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 Ohio Population by Age. You can refer the same here

In the Pakistan, the male population aged between 20 and 24 amounted to about **** percent of the total male population in 2023. In contrast, the male population aged between 20 and 24 in Hong Kong amounted to about *** percent of the total male population in 2023. The female Gen Z population in the Asia-Pacific region took up a smaller share among the female population overall compared to their male counterparts.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 15-19 years (184) | Female # 50-54 years (153). 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 Sheridan population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Sheridan is shown in the following column.
• Population (Female): The female population in the Sheridan 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 Sheridan 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 Sheridan Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 55-59 years (645) | Female # 65-69 years (696). 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 York town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the York town is shown in the following column.
• Population (Female): The female population in the York 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 York 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 York town Population by Gender. You can refer the same here

The estimated population of the U.S. was approximately 334.9 million in 2023, and the largest age group was adults aged 30 to 34. There were 11.88 million males in this age category and around 11.64 million females. Which U.S. state has the largest population? The population of the United States continues to increase, and the country is the third most populous in the world behind China and India. The gender distribution has remained consistent for many years, with the number of females narrowly outnumbering males. In terms of where the residents are located, California was the state with the highest population in 2023. The U.S. population by race and ethnicity The United States is well known the world over for having a diverse population. In 2023, the number of Black or African American individuals was estimated to be 45.76 million, which represented an increase of over four million since the 2010 census. The number of Asian residents has increased at a similar rate during the same time period and the Hispanic population in the U.S. has also continued to grow.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 25-29 years (121) | Female # 60-64 years (117). 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 Twin City population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Twin City is shown in the following column.
• Population (Female): The female population in the Twin City 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 Twin City 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 Twin City Population by Gender. You can refer the same here

Based on the latest population census data in 2020, **** percent of Indonesians belonged to the millennial generation. With this age structure, Indonesia has a relatively young population, and it is expected to have a faster rate of development in the next years.

About this dataset

Context

The dataset tabulates the Philadelphia County 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 Philadelphia County. The dataset can be utilized to understand the population distribution of Philadelphia County by age. For example, using this dataset, we can identify the largest age group in Philadelphia County.

Key observations

The largest age group in Philadelphia County, PA was for the group of age 30 to 34 years years with a population of 151,121 (9.55%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Philadelphia County, PA was the 80 to 84 years years with a population of 25,123 (1.59%). 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 Philadelphia County is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Philadelphia County 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 Philadelphia County Population by Age. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 35-39 years (52) | Female # 20-24 years (79). 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 Rock Creek population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Rock Creek is shown in the following column.
• Population (Female): The female population in the Rock Creek 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 Rock Creek 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 Rock Creek Population by Gender. You can refer the same here

The statistic shows the global population as of mid-2022, sorted by age. In mid-2022, approximately two thirds of the global population were aged between 15 and 64 years.

Until 2100, the world's population is expected to be ageing. Whereas people over 60 years made up less than 13 percent of the world's population in 2024, this share is estimated to reach 28.8 percent in 2100. On the other hand, the share of people between zero and 14 years was expected to decrease by almost ten percentage points over the same period.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 10-14 years (143) | Female # 5-9 years (121). 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 West Branch population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the West Branch is shown in the following column.
• Population (Female): The female population in the West Branch 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 West Branch 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 West Branch Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Van Buren, AR population pyramid, which represents the Van Buren 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 Van Buren, AR, is 34.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Van Buren, AR, is 27.8.
• Total dependency ratio for Van Buren, AR is 62.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Van Buren, AR is 3.6.

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 Van Buren 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 for the selected age group is shown in the following column.
• Population (Female): The female population in the Van Buren for the selected age group is shown in the following column.
• Total Population: The total population of the Van Buren 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 Van Buren Population by Age. You can refer the same here

In 2023, about 13.6 percent of the population in Maine was between the ages of 65 and 74 years old. A further 12 percent of the population was between the ages of 45 and 54 years old in that same year.

In 2023, about 12.2 percent of the population in Connecticut was between the ages of 45 and 54 years old. A further 10.9 percent of the population was between the ages of 65 and 74 years old in that same year.

In 2023, about 13.3 percent of the population in New Jersey was between the ages of 35 and 44 years old. A further 12.8 percent of people in New Jersey were between the ages of 45 and 54 years old in that year.

In 2023, about 13.4 percent of the population in Illinois was between the ages of 25 and 34 years old. A further 13.4 percent of people in Illinois were between the ages of 35 and 44 years old.

In 2023, about 13.2 percent of the population of Ohio was between the ages of 25 and 34 years old. A further 12.6 percent of the population of Ohio was between the ages of 35 and 44 years old in that year.