Graph and download economic data for Resident Population in Charleston, WV (MSA) (CHRPOP) from 2000 to 2024 about Charleston, WV, residents, population, and USA.

About this dataset

Context

The dataset tabulates the Charleston population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Charleston across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Charleston was 46,838, a 0.80% decrease year-by-year from 2022. Previously, in 2022, Charleston population was 47,215, a decline of 1.52% compared to a population of 47,944 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Charleston decreased by 6,834. In this period, the peak population was 53,672 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Charleston is shown in this column.
• Year on Year Change: This column displays the change in Charleston population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Charleston Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the South Charleston population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of South Charleston across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of South Charleston was 13,281, a 0.84% decrease year-by-year from 2022. Previously, in 2022, South Charleston population was 13,394, a decline of 1.66% compared to a population of 13,620 in 2021. Over the last 20 plus years, between 2000 and 2023, population of South Charleston decreased by 400. In this period, the peak population was 13,845 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the South Charleston is shown in this column.
• Year on Year Change: This column displays the change in South Charleston population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 South Charleston Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the South Charleston population by age. The dataset can be utilized to understand the age distribution and demographics of South Charleston.

Content

The dataset constitues the following three datasets

• South Charleston, WV Age Group Population Dataset: A complete breakdown of South Charleston age demographics from 0 to 85 years, distributed across 18 age groups
• South Charleston, WV Age Cohorts Dataset: Children, Working Adults, and Seniors in South Charleston - Population and Percentage Analysis
• South Charleston, WV Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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/.

A dataset listing West Virginia cities by population for 2024.

About this dataset

Context

The dataset tabulates the South Charleston population by year. The dataset can be utilized to understand the population trend of South Charleston.

Content

The dataset constitues the following datasets

• South Charleston, WV Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

Graph and download economic data for Resident Population in Clay County, WV (WVCLAY5POP) from 1970 to 2024 about Clay County, WV; Charleston; WV; residents; population; and USA.

Graph and download economic data for Resident Population in Putnam County, WV (WVPUTN9POP) from 1970 to 2024 about Putnam County, WV; Charleston; WV; residents; population; and USA.

Resident Population in Charleston, WV (MSA) was 202.09100 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Charleston, WV (MSA) reached a record high of 309.38700 in January of 2000 and a record low of 202.09100 in January of 2024. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Charleston, WV (MSA) - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Resident Population in Lincoln County, WV (WVLINC3POP) from 1970 to 2024 about Lincoln County, WV; Charleston; WV; residents; population; and USA.

About this dataset

Context

The dataset tabulates the data for the Charleston, WV population pyramid, which represents the Charleston population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Charleston, WV, is 22.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Charleston, WV, is 30.7.
• Total dependency ratio for Charleston, WV is 52.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Charleston, WV is 3.3.

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

Variables / Data Columns

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

About this dataset

Context

The dataset tabulates the data for the South Charleston, WV population pyramid, which represents the South Charleston population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 South Charleston, WV, is 26.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for South Charleston, WV, is 30.9.
• Total dependency ratio for South Charleston, WV is 57.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for South Charleston, WV is 3.2.

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

Variables / Data Columns

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

Graph and download economic data for Unemployment Rate in Charleston, WV (MSA) (LAUMT541662000000003A) from 1990 to 2024 about Charleston, WV, household survey, unemployment, rate, and USA.

About this dataset

Context

The dataset tabulates the population of South Charleston by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of South Charleston across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 52.69% of total population being female. 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.

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the South Charleston is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of South Charleston 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 South Charleston Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Unemployed Persons in Kanawha County, WV (LAUCN540390000000004A) from 1990 to 2024 about Kanawha County, WV; Charleston; WV; household survey; unemployment; persons; and USA.

About this dataset

Context

The dataset tabulates the population of Charleston by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Charleston across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 50.71% of total population being female. 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.

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Charleston is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Charleston 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 Charleston Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Civilian Labor Force in Kanawha County, WV (LAUCN540390000000006A) from 1990 to 2024 about Kanawha County, WV; Charleston; WV; civilian; labor force; labor; household survey; and USA.

Graph and download economic data for Employed Persons in Putnam County, WV (LAUCN540790000000005A) from 1990 to 2024 about Putnam County, WV; Charleston; WV; household survey; employment; persons; and USA.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 40-44 years (616) | Female # 10-14 years (622). 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 South Charleston population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the South Charleston is shown in the following column.
• Population (Female): The female population in the South Charleston 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 Charleston 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 Charleston Population by Gender. You can refer the same here

Graph and download economic data for Employed Persons in Boone County, WV (LAUCN540050000000005A) from 1990 to 2024 about Boone County, WV; Charleston; WV; household survey; employment; persons; and USA.