About this dataset

Context

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

Key observations

The largest age group in Charleston County, SC was for the group of age 30 to 34 years years with a population of 33,992 (8.20%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Charleston County, SC was the 85 years and over years with a population of 8,016 (1.93%). 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 Charleston County is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Charleston 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 Charleston County Population by Age. You can refer the same here

About this dataset

Context

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

Content

The dataset constitues the following two datasets across these two themes

• Charleston, SC Population Breakdown by Gender
• Charleston, SC Population Breakdown by Gender and Age

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/.

U.S. Census Bureau QuickFacts statistics for North Charleston city, 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.

About this dataset

Context

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

Key observations

The largest age group in North Charleston, SC was for the group of age 25 to 29 years years with a population of 11,011 (9.37%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in North Charleston, SC was the 80 to 84 years years with a population of 1,446 (1.23%). 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 North Charleston is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of North 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 North Charleston Population by Age. You can refer the same here

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. The ADDRFEAT shapefile contains a record for each address range to street name combination. Address range associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that the ADDRFEAT shapefile includes all unsuppressed address ranges compared to the All Lines Shapefile (EDGES.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefile contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

Graph and download economic data for Average Weekly Wages for Employees in Local Government Establishments in Charleston-North Charleston-Summerville, SC (MSA) (ENUC167040310) from Q1 1990 to Q3 2024 about local govt, Charleston, establishments, SC, average, wages, government, employment, and USA.

Graph and download economic data for Average Weekly Wages for Employees in Total Covered Establishments in Charleston-North Charleston-Summerville, SC (MSA) (ENUC167040010SA) from Q1 1990 to Q3 2024 about covered, Charleston, establishments, SC, average, wages, employment, and USA.

Graph and download economic data for New Private Housing Structures Authorized by Building Permits for Charleston-North Charleston, SC (MSA) (CHAR745BPPRIVSA) from Jan 1988 to Feb 2025 about Charleston, SC, permits, buildings, new, private, housing, and USA.

Graph and download economic data for Civilian Labor Force in Berkeley County, SC (SCBERK0LFN) from Jan 1990 to Jan 2025 about Berkeley County, SC; Charleston; SC; civilian; labor force; labor; and USA.

Graph and download economic data for Employed Persons in Charleston-North Charleston, SC (MSA) (LAUMT451670000000005) from Jan 1990 to Dec 2024 about Charleston, SC, household survey, employment, persons, and USA.

About this dataset

Context

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

Content

The dataset constitues the following three datasets

• Charleston, SC Age Group Population Dataset: A complete breakdown of Charleston age demographics from 0 to 85 years, distributed across 18 age groups
• Charleston, SC Age Cohorts Dataset: Children, Working Adults, and Seniors in Charleston - Population and Percentage Analysis
• Charleston, SC 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/.

Graph and download economic data for All Employees: Government: State Government in Charleston-North Charleston, SC (MSA) (SMU45167009092000001SA) from Jan 1990 to Jan 2025 about state govt, Charleston, SC, government, employment, and USA.

The Charleston Neighborhood Change Index aggregates American Community Survey Census data from 2014 and 2019 to examine change in neighborhood demographics at the census tract level on 6 metrics that are potential indicators of gentrification. The methodology used to calculate the Change Index closely follows that of the Los Angeles Index of Neighborhood Change, and data comes from the following ACS layers:1.) ACS Household Income Distribution Variables - Boundaries 2010-2014 ACS Household Income Distribution Variables – Boundaries 2.) ACS Educational Attainment Variables - Boundaries 2010 – 2014 ACS Educational Attainment Variables - Boundaries 3.) ACS Race and Hispanic Origin Variables - Boundaries 2010-2014 ACS Race and Hispanic Origin Variables - Boundaries 4.) ACS Median Household Income Variables – Boundaries 2010-2014 ACS Median Household Income Variables - Boundaries 5.) ACS Housing Costs Variables – Boundaries 2010-2014 ACS Housing Costs Variables - Boundaries 6.) ACS Housing Units Occupancy Variables – Boundaries 2010-2014 ACS Housing Units Occupancy Variables - Boundaries

About this dataset

Context

The dataset tabulates the data for the Charleston, SC 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Charleston, SC, is 21.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Charleston, SC, is 23.3.
• Total dependency ratio for Charleston, SC is 44.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Charleston, SC is 4.3.

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 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

This data depicts the social vulnerability of South Carolina census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

About this dataset

Context

The dataset tabulates the Charleston County median household income by race. The dataset can be utilized to understand the racial distribution of Charleston County income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Charleston County, SC median household income breakdown by race betwen 2012 and 2022
• Median Household Income by Racial Categories in Charleston County, SC (2022)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Charleston County median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Charleston: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 3,977(5.82%) households where the householder is under 25 years old, 26,831(39.24%) households with a householder aged between 25 and 44 years, 21,262(31.10%) households with a householder aged between 45 and 64 years, and 16,307(23.85%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the city of Charleston, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 median household income by age. You can refer the same here

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Some Other Race Alone (5-year estimate) in Charleston County, SC (B03002008E045019) from 2009 to 2023 about Charleston County, SC; Charleston; SC; non-hispanic; estimate; persons; 5-year; population; and USA.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Charleston County, SC, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in Charleston County. Across the different household sizes in Charleston County the mean income is $109,916, and the standard deviation is $31,835. The coefficient of variation (CV) is 28.96%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $50,128. It then further increased to $136,529 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/charleston-county-sc-median-household-income-by-household-size.jpeg" alt="Charleston County, SC median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 County median household income. You can refer the same here