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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the population of South Carolina by race. It includes the population of South Carolina across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of South Carolina across relevant racial categories.
Key observations
The percent distribution of South Carolina population by race (across all racial categories recognized by the U.S. Census Bureau): 64.06% are white, 25.30% are Black or African American, 0.32% are American Indian and Alaska Native, 1.72% are Asian, 0.07% are Native Hawaiian and other Pacific Islander, 2.74% are some other race and 5.79% are multiracial.
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 Carolina Population by Race & Ethnicity. You can refer the same here
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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 Florence County, SC (B03002010E045041) from 2009 to 2023 about Florence County, SC; Florence; SC; non-hispanic; estimate; 5-year; persons; population; and USA.
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Context
This list ranks the 269 cities in the South Carolina by Some Other Race (SOR) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
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/.
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License information was derived automatically
Context
This list ranks the 46 counties in the South Carolina by Non-Hispanic Some Other Race (SOR) population, as estimated by the United States Census Bureau. It also highlights population changes in each counties over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
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/.
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A dataset listing South Carolina cities by population for 2024.
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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 Lee County, SC (B03002010E045061) from 2009 to 2023 about Lee County, SC; SC; non-hispanic; estimate; 5-year; persons; 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 Non-Hispanic population of South Carolina by race. It includes the distribution of the Non-Hispanic population of South Carolina across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of South Carolina across relevant racial categories.
Key observations
Of the Non-Hispanic population in South Carolina, the largest racial group is White alone with a population of 3.24 million (66.97% 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 Carolina Population by Race & Ethnicity. You can refer the same here
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Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in Marion County, SC (B03002020E045067) from 2009 to 2023 about Marion County, SC; latino; hispanic; SC; estimate; 5-year; persons; population; and USA.
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TwitterAccording to exit polls for the 2020 South Carolina Democratic primary, former Vice President Joe Biden dominated the vote among African-Americans, receiving ** percent of the vote. Among White voters, the vote was more evenly split, with Joe Biden receiving ** percent of the vote, and Vermont Senator Bernie Sanders receiving ** percent of the vote.
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TwitterThe Colony of Virginia, the location of the Jamestown Settlement (the first permanent English settlement in the Americas), was the most populous southern colony or state in the region until it was partitioned into Virginia and West Virginia during the American Civil War. Virginia was also the most populous of the Thirteen Colonies throughout most of the Colonial Era. In terms of ethnicity, the southern colonies had the largest relative Black populations, with South Carolina even becoming majority-Black in the 1710s.
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Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Excluding Some Other Race, and Three or More Races (5-year estimate) in Lexington County, SC (B03002011E045063) from 2009 to 2023 about Lexington County, SC; Columbia; SC; non-hispanic; 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 Excluding Some Other Race, and Three or More Races (5-year estimate) in Berkeley County, SC (B03002011E045015) from 2009 to 2023 about Berkeley County, SC; Charleston; SC; non-hispanic; estimate; 5-year; persons; 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 South Carolina median household income by race. The dataset can be utilized to understand the racial distribution of South Carolina income.
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).
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of South Carolina median household income by race. You can refer the same here
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TwitterDespite the election taking place in Nikki Haley's home state, former president Donald Trump led the way among the majority of voters in the South Carolina Republican primary. However, the vote was split more evenly among non-white voters, with Trump receiving 53 percent of the vote, and former South Carolina Governor Nikki Haley receiving 46 percent of the vote.
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Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races Excluding Some Other Race, and Three or More Races (5-year estimate) in Jasper County, SC (B03002021E045053) from 2009 to 2023 about Jasper County, SC; latino; hispanic; SC; estimate; 5-year; persons; population; and USA.
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License information was derived automatically
This dataset tracks annual two or more races student percentage from 2013 to 2023 for Fort Mill Middle School vs. South Carolina and York 04 School District
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TwitterThe desire to stabilize coastlines has led to widespread use of hard armoring infrastructure across the globe, however, ecologists and coastal managers have increasingly documented the deleterious effects of armoring on ecological communities. Although many studies have assessed economic and landscape correlates of armoring, few studies incorporate race as a predictor of armoring. Race may be an important force structuring the placement of armoring due to the long history of Black land loss in the US Southeast. Here, we assessed the distribution of armoring in the US state of South Carolina with respect to demographic and housing characteristics using a high spatial resolution data set and a combination of spatial statistics and generalized linear mixed models. We found clusters of high armoring counts in the more urbanized Beaufort and Charleston counties, with these clusters frequently occurring in large-scale, planned communities. We found a positive correlation between armor count a..., The data analyzed in this study were originally collected by Jackson (2017). Armoring data was associated with census block groups in ArcPro and then analyzed with respect to demographic data gathered from the Census Bureau via GLMMs in R. A copy of the Jackson 2017 is provided in the "Armoring_Supplemental" folder. Jackson, C. 2017. Mapping Coastal Erosion Hazards Along Sheltered Coastlines in South Carolina 1849 to 2015. South Carolina Department of Health and Environmental Control Office of Ocean and Coastal Resource Management., ArcGIS Pro and R were used for analyses., # Racial composition and homeownership influence the distribution of coastal armoring in South Carolina, United States
This text document contains a brief description of all the files in the "Armoring_Data" folder. All R scripts used to run the analysis are hosted on the associated Zenodo link and contain a separate README therein ("0_README.R"). If you have any questions or requests, please email me (Jeffrey Beauvais, he/him, beauvais.work@gmail.com).
Some folders ("BeauvaisByers_Armoring_Index", "GpMessages", and "ImportLog") are empty and automatically generated by ArcGIS Pro when loading the program.
Contains a geodatabase (.gdb file) with final point layers used in the analysis for dock counts, lengths, and geographic boundaries. Intermediate files were redundant and excluded, but are available ...,
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Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races Excluding Some Other Race, and Three or More Races (5-year estimate) in Abbeville County, SC (B03002021E045001) from 2009 to 2023 about Abbeville County, SC; latino; hispanic; SC; estimate; 5-year; persons; 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 presents the median household income across different racial categories in South Carolina. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.
Key observations
Based on our analysis of the distribution of South Carolina population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 65.66% of the total residents in South Carolina. Notably, the median household income for White households is $73,516. Interestingly, despite the White population being the most populous, it is worth noting that Asian households actually reports the highest median household income, with a median income of $87,807. This reveals that, while Whites may be the most numerous in South Carolina, Asian households experience greater economic prosperity in terms of median household income.
https://i.neilsberg.com/ch/south-carolina-median-household-income-by-race.jpeg" alt="South Carolina median household income diversity across racial categories">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-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 Carolina median household income by race. You can refer the same here
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Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races Excluding Some Other Race, and Three or More Races (5-year estimate) in Hampton County, SC (B03002021E045049) from 2009 to 2019 about Hampton County, SC; SC; latino; hispanic; estimate; persons; 5-year; population; Prosperity Scorecard; 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 population of South Carolina by race. It includes the population of South Carolina across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of South Carolina across relevant racial categories.
Key observations
The percent distribution of South Carolina population by race (across all racial categories recognized by the U.S. Census Bureau): 64.06% are white, 25.30% are Black or African American, 0.32% are American Indian and Alaska Native, 1.72% are Asian, 0.07% are Native Hawaiian and other Pacific Islander, 2.74% are some other race and 5.79% are multiracial.
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 Carolina Population by Race & Ethnicity. You can refer the same here