Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Hampton County, SC (B01002001E045049) from 2009 to 2023 about Hampton County, SC; age; SC; 5-year; median; and USA.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 15-19 years (176,199) | Female # 60-64 years (188,117). 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 South Carolina population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the South Carolina is shown in the following column.
• Population (Female): The female population in the South Carolina 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 South Carolina 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 South Carolina Population by Gender. You can refer the same here

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Lexington County, SC (B01002001E045063) from 2009 to 2023 about Lexington County, SC; Columbia; age; SC; 5-year; median; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Chester County, SC (B01002001E045023) from 2009 to 2023 about Chester County, SC; age; SC; median; 5-year; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Jasper County, SC (B01002001E045053) from 2009 to 2023 about Jasper County, SC; age; SC; 5-year; median; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Horry County, SC (B01002001E045051) from 2009 to 2023 about Horry County, SC; Myrtle Beach; age; SC; 5-year; median; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Spartanburg County, SC (B01002001E045083) from 2009 to 2023 about Spartanburg County, SC; Spartanburg; age; SC; 5-year; median; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Fairfield County, SC (B01002001E045039) from 2009 to 2023 about Fairfield County, SC; Columbia; age; SC; 5-year; median; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Georgetown County, SC (B01002001E045043) from 2009 to 2023 about Georgetown County, SC; age; SC; median; 5-year; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Marion County, SC (B01002001E045067) from 2009 to 2023 about Marion County, SC; age; SC; median; 5-year; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Dorchester County, SC (B01002001E045035) from 2009 to 2023 about Dorchester County, SC; Charleston; age; SC; 5-year; median; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Lancaster County, SC (B01002001E045057) from 2009 to 2023 about Lancaster County, SC; age; SC; 5-year; median; and USA.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (22) | Female # 70-74 years (34). 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 Mcconnells population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Mcconnells is shown in the following column.
• Population (Female): The female population in the Mcconnells 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 Mcconnells 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 Mcconnells Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (84) | Female # 60-64 years (43). 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 population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the North is shown in the following column.
• Population (Female): The female population in the North 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 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 Population by Gender. You can refer the same here

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Edgefield County, SC (B01002001E045037) from 2009 to 2023 about Edgefield County, SC; Augusta; age; SC; median; 5-year; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in York County, SC (B01002001E045091) from 2009 to 2023 about York County, SC; Charlotte; age; SC; 5-year; median; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Berkeley County, SC (B01002001E045015) from 2009 to 2023 about Berkeley County, SC; Charleston; age; SC; median; 5-year; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Laurens County, SC (B01002001E045059) from 2009 to 2023 about Laurens County, SC; Greenville; age; SC; median; 5-year; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Lee County, SC (B01002001E045061) from 2009 to 2023 about Lee County, SC; age; SC; 5-year; median; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Marlboro County, SC (B01002001E045069) from 2009 to 2023 about Marlboro County, SC; age; SC; 5-year; median; and USA.