Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Charleston County 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 County 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 County was 424,367, a 1.20% increase year-by-year from 2022. Previously, in 2022, Charleston County population was 419,350, an increase of 1.17% compared to a population of 414,514 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Charleston County increased by 113,403. In this period, the peak population was 424,367 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. 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 County Population by Year. You can refer the same here
Attribution 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 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, SC was for the group of age 30 to 34 years years with a population of 15,081 (9.92%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Charleston, SC was the 85 years and over years with a population of 3,118 (2.05%). 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:
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-North Charleston, SC (MSA) (CRLPOP) from 2000 to 2024 about Charleston, SC, residents, population, and USA.
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Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino (5-year estimate) in Charleston County, SC (B03002002E045019) from 2009 to 2023 about Charleston County, SC; Charleston; SC; non-hispanic; estimate; persons; 5-year; population; and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Charleston by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Charleston. The dataset can be utilized to understand the population distribution of Charleston by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in 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 Charleston.
Key observations
Largest age group (population): Male # 30-34 years (7,315) | Female # 30-34 years (7,766). 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 Charleston Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Charleston County, SC population pyramid, which represents the Charleston County 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 County Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the North 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 North 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 North Charleston was 121,469, a 2.42% increase year-by-year from 2022. Previously, in 2022, North Charleston population was 118,598, an increase of 0.87% compared to a population of 117,573 in 2021. Over the last 20 plus years, between 2000 and 2023, population of North Charleston increased by 39,993. In this period, the peak population was 121,469 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. 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 North Charleston Population by Year. You can refer the same here
Attribution 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 by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Charleston. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 100,905 (66.38% of the total population). 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 cohorts:
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, Hispanic or Latino, Asian Alone (5-year estimate) in Charleston County, SC (B03002016E045019) from 2009 to 2023 about Charleston County, SC; Charleston; asian; SC; latino; hispanic; estimate; persons; 5-year; population; and USA.
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Graph and download economic data for Population Estimate, Total (5-year estimate) in Berkeley County, SC (B03002001E045015) from 2009 to 2023 about Berkeley County, SC; Charleston; SC; estimate; persons; 5-year; population; and USA.
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Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Dorchester County, SC (S1701ACS045035) from 2012 to 2023 about Dorchester County, SC; Charleston; SC; percent; poverty; 5-year; population; and USA.
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License information was derived automatically
U.S. Census Bureau QuickFacts statistics for Charleston County, South Carolina. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
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Graph and download economic data for Resident Population in Dorchester County, SC (SCDORC7POP) from 1970 to 2024 about Dorchester County, SC; Charleston; SC; residents; population; and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year estimate) in Charleston County, SC was 266718.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year estimate) in Charleston County, SC reached a record high of 267018.00000 in January of 2022 and a record low of 211734.00000 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year estimate) in Charleston County, SC - last updated from the United States Federal Reserve on July of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Resident Population in Charleston-North Charleston, SC (MSA) was 869.94000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Charleston-North Charleston, SC (MSA) reached a record high of 869.94000 in January of 2024 and a record low of 550.87500 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Charleston-North Charleston, SC (MSA) - last updated from the United States Federal Reserve on July of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Charleston County, SC was 97371.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Charleston County, SC reached a record high of 107050.00000 in January of 2018 and a record low of 97371.00000 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Charleston County, SC - last updated from the United States Federal Reserve on July of 2025.
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Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Native Hawaiian and Other Pacific Islander Alone (5-year estimate) in Charleston County, SC (B03002007E045019) from 2009 to 2023 about Charleston County, SC; Charleston; Pacific Islands; SC; non-hispanic; estimate; persons; 5-year; population; and USA.
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Graph and download economic data for Equifax Subprime Credit Population for Charleston County, SC (EQFXSUBPRIME045019) from Q2 2014 to Q1 2025 about Charleston County, SC; Charleston; subprime; SC; population; and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Percent of Population Below the Poverty Level (5-year estimate) in Charleston County, SC was 11.60% in January of 2023, according to the United States Federal Reserve. Historically, Percent of Population Below the Poverty Level (5-year estimate) in Charleston County, SC reached a record high of 18.20 in January of 2013 and a record low of 11.60 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Percent of Population Below the Poverty Level (5-year estimate) in Charleston County, SC - last updated from the United States Federal Reserve on July of 2025.
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Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Berkeley County, SC (S1701ACS045015) from 2012 to 2023 about Berkeley County, SC; Charleston; SC; percent; poverty; 5-year; population; and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Charleston County 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 County 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 County was 424,367, a 1.20% increase year-by-year from 2022. Previously, in 2022, Charleston County population was 419,350, an increase of 1.17% compared to a population of 414,514 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Charleston County increased by 113,403. In this period, the peak population was 424,367 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. 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 County Population by Year. You can refer the same here