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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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Charleston Population by Year. You can refer the same here
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TwitterComprehensive demographic dataset for Charleston, WV, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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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) 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Charleston Population by Age. You can refer the same here
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Graph and download economic data for Resident Population in Charleston, WV (MSA) (CHRPOP) from 2000 to 2024 about Charleston, WV, residents, population, and USA.
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Context
The dataset tabulates the Non-Hispanic population of South Charleston by race. It includes the distribution of the Non-Hispanic population of South Charleston across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of South Charleston across relevant racial categories.
Key observations
Of the Non-Hispanic population in South Charleston, the largest racial group is White alone with a population of 11,537 (85.87% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Charleston Population by Race & Ethnicity. You can refer the same here
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Graph and download economic data for Resident Population in Kanawha County, WV (WVKANA9POP) from 1970 to 2024 about Kanawha County, WV; Charleston; WV; residents; population; and USA.
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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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Charleston Population by Year. You can refer the same here
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Graph and download economic data for Population Estimate, Total (5-year estimate) in Kanawha County, WV (B03002001E054039) from 2009 to 2023 about Kanawha County, WV; Charleston; WV; estimate; 5-year; persons; population; and USA.
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Graph and download economic data for Resident Population in Boone County, WV (WVBOON5POP) from 1970 to 2024 about Boone County, WV; Charleston; WV; residents; population; and USA.
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Graph and download economic data for Population Estimate, Total (5-year estimate) in Putnam County, WV (B03002001E054079) from 2009 to 2023 about Putnam County, WV; Charleston; WV; estimate; 5-year; persons; population; and USA.
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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 (621) | Female # 10-14 years (711). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for South Charleston Population by Gender. You can refer the same here
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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 December of 2025.
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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.
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Graph and download economic data for Population Estimate, Total (5-year estimate) in Boone County, WV (B03002001E054005) from 2009 to 2023 about Boone County, WV; Charleston; WV; estimate; 5-year; persons; population; and USA.
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Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Putnam County, WV (S1701ACS054079) from 2012 to 2023 about Putnam County, WV; Charleston; WV; poverty; percent; 5-year; population; and USA.
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Graph and download economic data for Population Estimate, Total (5-year estimate) in Clay County, WV (B03002001E054015) from 2009 to 2023 about Clay County, WV; Charleston; WV; estimate; 5-year; persons; population; and USA.
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Context
The dataset tabulates the Charleston 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 Charleston. The dataset can be utilized to understand the population distribution of Charleston by age. For example, using this dataset, we can identify the largest age group in Charleston.
Key observations
The largest age group in Charleston, WV was for the group of age 55-59 years with a population of 3,724 (7.59%), according to the 2021 American Community Survey. At the same time, the smallest age group in Charleston, WV was the 80-84 years with a population of 1,028 (2.10%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Charleston Population by Age. You can refer the same here
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Graph and download economic data for Population Estimate, Total (5-year estimate) in Lincoln County, WV (B03002001E054043) from 2009 to 2023 about Lincoln County, WV; Charleston; WV; estimate; 5-year; persons; population; and USA.
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Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in Putnam County, WV (B03002010E054079) from 2009 to 2023 about Putnam County, WV; Charleston; WV; non-hispanic; estimate; 5-year; persons; population; and USA.
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Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Boone County, WV (S1701ACS054005) from 2012 to 2023 about Boone County, WV; Charleston; WV; poverty; percent; 5-year; population; and USA.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Charleston Population by Year. You can refer the same here