100+ datasets found
  1. N

    South Carolina Population Breakdown By Race (Excluding Ethnicity) Dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 21, 2025
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    Neilsberg Research (2025). South Carolina Population Breakdown By Race (Excluding Ethnicity) Dataset: Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/7599e982-ef82-11ef-9e71-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Carolina
    Variables measured
    Asian Population, Black Population, White Population, Some other race Population, Two or more races Population, American Indian and Alaska Native Population, Asian Population as Percent of Total Population, Black Population as Percent of Total Population, White Population as Percent of Total Population, Native Hawaiian and Other Pacific Islander Population, and 4 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and do not rely on any ethnicity classification. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    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.

    Content

    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:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race: This column displays the racial categories (excluding ethnicity) for the South Carolina
    • Population: The population of the racial category (excluding ethnicity) in the South Carolina is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each race as a proportion of South Carolina 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 Carolina Population by Race & Ethnicity. You can refer the same here

  2. Distribution of legal abortions in South Carolina by race/ethnicity 2022

    • statista.com
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    Statista, Distribution of legal abortions in South Carolina by race/ethnicity 2022 [Dataset]. https://www.statista.com/statistics/240531/distribution-of-reported-legal-abortions-in-south-carolina-by-ethnicity/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States, South Carolina
    Description

    In 2022, around 48 percent of all reported legal abortions in South Carolina were performed on non-Hispanic Black women. This statistic depicts the distribution of reported legal abortions in South Carolina in 2022, by the race/ethnicity of the women who obtained abortions.

  3. d

    Data from: American alligator demographic and harvest data from Georgetown...

    • catalog.data.gov
    • data.usgs.gov
    • +3more
    Updated Nov 21, 2025
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    U.S. Geological Survey (2025). American alligator demographic and harvest data from Georgetown County, South Carolina, 1979–2017 [Dataset]. https://catalog.data.gov/dataset/american-alligator-demographic-and-harvest-data-from-georgetown-county-south-carolina-1979
    Explore at:
    Dataset updated
    Nov 21, 2025
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Georgetown County, South Carolina, United States
    Description

    The American alligator (Alligator mississippiensis) is a species of ecological and economic importance in the southeastern United States. Within South Carolina, alligators are subject to private and public harvest programs, as well as nuisance removal. These management activities can have different impacts across alligator size classes that may not be apparent through widely-used monitoring techniques such as nightlight surveys. We synthesized multiple datasets within an integrated population model (IPM) to estimate size class-specific survival and abundance estimates, that would not be estimable through separate, non-integrated modeling frameworks. The IPM framework included a multistate mark-recapture-recovery model that used mark-recapture-recovery data from the Tom Yawkey Wildlife Center and growth transition probabilities that were estimated outside of the IPM framework. The IPM also included a state-space count model, which used nightlight survey counts of alligtaors from two survey routes: 1) Great Pee Dee and Waccamaw Rivers; and 2) South Santee Rivers. The IPM modeling framework also used mean clutch size data from the Tom Yawkey Wildlife Center and public and private harvest data within the state model. Lastly, we evaluated the effects of capture effort on capture probability, as well as the effects of water temperature and relative water level on count detection probability, and provide all covariate datasets. Our IPM framework determined that size class-specific survival rates were relatively high for all non-hatchling size classes, and abundance trends differed between the two nightlight survey sites.

  4. South Carolina, US Demographics 2025

    • point2homes.com
    html
    Updated 2025
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    Point2Homes (2025). South Carolina, US Demographics 2025 [Dataset]. https://www.point2homes.com/US/Neighborhood/SC-Demographics.html
    Explore at:
    htmlAvailable download formats
    Dataset updated
    2025
    Dataset authored and provided by
    Point2Homeshttps://plus.google.com/116333963642442482447/posts
    Time period covered
    2025
    Area covered
    South Carolina, United States
    Variables measured
    Asian, Other, White, 2 units, Over 65, Median age, Blue collar, Mobile home, 3 or 4 units, 5 to 9 units, and 71 more
    Description

    Comprehensive demographic dataset for South Carolina, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

  5. South Carolina Democratic primary exit polls, share of votes by ethnicity...

    • statista.com
    Updated Feb 29, 2020
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    Statista (2020). South Carolina Democratic primary exit polls, share of votes by ethnicity 2020 [Dataset]. https://www.statista.com/statistics/1101181/south-carolina-democratic-primary-exit-polls-share-votes-ethnicity/
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    Dataset updated
    Feb 29, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 29, 2020
    Area covered
    United States
    Description

    According 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.

  6. F

    Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two...

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
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    (2024). Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in Florence County, SC [Dataset]. https://fred.stlouisfed.org/series/B03002010E045041
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Florence County, South Carolina
    Description

    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.

  7. Adult obesity rates in South Carolina by race/ethnicity 2023

    • statista.com
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    Statista, Adult obesity rates in South Carolina by race/ethnicity 2023 [Dataset]. https://www.statista.com/statistics/207422/overweight-and-obesity-rates-for-adults-in-south-carolina-by-ethnicity/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States, South Carolina
    Description

    In 2023, around ** percent of all Black adults in South Carolina were obese. The desire for fast and convenient foodstuffs can hinder people from eating healthy diets, especially with the lack of nutrition in many processed foods. This statistic depicts the obesity rates for adults in South Carolina in 2023, by race/ethnicity.

  8. Ruffin, SC, US Demographics 2025

    • point2homes.com
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    Updated 2025
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    Point2Homes (2025). Ruffin, SC, US Demographics 2025 [Dataset]. https://www.point2homes.com/US/Neighborhood/SC/Ruffin-Demographics.html
    Explore at:
    htmlAvailable download formats
    Dataset updated
    2025
    Dataset authored and provided by
    Point2Homeshttps://plus.google.com/116333963642442482447/posts
    Time period covered
    2025
    Area covered
    Ruffin, South Carolina, United States
    Variables measured
    Asian, Other, White, 2 units, Over 65, Median age, Blue collar, Mobile home, 3 or 4 units, 5 to 9 units, and 70 more
    Description

    Comprehensive demographic dataset for Ruffin, SC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

  9. p

    Cyber Academy Of South Carolina

    • publicschoolreview.com
    json, xml
    Updated Oct 10, 2025
    + more versions
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    Public School Review (2025). Cyber Academy Of South Carolina [Dataset]. https://www.publicschoolreview.com/cyber-academy-of-south-carolina-profile
    Explore at:
    json, xmlAvailable download formats
    Dataset updated
    Oct 10, 2025
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2019 - Dec 31, 2025
    Area covered
    South Carolina
    Description

    Historical Dataset of Cyber Academy Of South Carolina is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2019-2023),Total Classroom Teachers Trends Over Years (2019-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2019-2023),Asian Student Percentage Comparison Over Years (2019-2020),Hispanic Student Percentage Comparison Over Years (2019-2023),Black Student Percentage Comparison Over Years (2019-2023),White Student Percentage Comparison Over Years (2019-2023),Two or More Races Student Percentage Comparison Over Years (2019-2023),Diversity Score Comparison Over Years (2019-2023),Free Lunch Eligibility Comparison Over Years (2019-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2019-2023),Reading and Language Arts Proficiency Comparison Over Years (2019-2022),Math Proficiency Comparison Over Years (2019-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2019-2023),Graduation Rate Comparison Over Years (2019-2023)

  10. N

    Dataset for South Carolina Census Bureau Income Distribution by Race

    • neilsberg.com
    Updated Jan 3, 2024
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    Neilsberg Research (2024). Dataset for South Carolina Census Bureau Income Distribution by Race [Dataset]. https://www.neilsberg.com/research/datasets/80f9a32d-9fc2-11ee-b48f-3860777c1fe6/
    Explore at:
    Dataset updated
    Jan 3, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Carolina
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    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.

    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).

    • South Carolina median household income breakdown by race betwen 2012 and 2022
    • Median Household Income by Racial Categories in South Carolina (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 South Carolina median household income by race. You can refer the same here

  11. Blair, SC, US Demographics 2025

    • point2homes.com
    html
    Updated 2025
    + more versions
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    Point2Homes (2025). Blair, SC, US Demographics 2025 [Dataset]. https://www.point2homes.com/US/Neighborhood/SC/Blair-Demographics.html
    Explore at:
    htmlAvailable download formats
    Dataset updated
    2025
    Dataset authored and provided by
    Point2Homeshttps://plus.google.com/116333963642442482447/posts
    Time period covered
    2025
    Area covered
    Blair, South Carolina, United States
    Variables measured
    Asian, Other, White, 2 units, Over 65, Median age, Blue collar, Mobile home, 3 or 4 units, 5 to 9 units, and 69 more
    Description

    Comprehensive demographic dataset for Blair, SC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

  12. p

    South Carolina Whitmore School

    • publicschoolreview.com
    json, xml
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    Public School Review, South Carolina Whitmore School [Dataset]. https://www.publicschoolreview.com/south-carolina-whitmore-school-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2019 - Dec 31, 2025
    Area covered
    South Carolina
    Description

    Historical Dataset of South Carolina Whitmore School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2019-2023),Total Classroom Teachers Trends Over Years (2019-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2019-2023),Asian Student Percentage Comparison Over Years (2019-2023),Hispanic Student Percentage Comparison Over Years (2019-2023),Black Student Percentage Comparison Over Years (2019-2023),White Student Percentage Comparison Over Years (2019-2023),Diversity Score Comparison Over Years (2019-2023),Free Lunch Eligibility Comparison Over Years (2019-2023)

  13. Data from: Zooplankton species diversity in the temporary wetland system of...

    • zenodo.org
    • datasetcatalog.nlm.nih.gov
    • +2more
    Updated May 31, 2022
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    Marcus Alexander Zokan; Andrew M. Kramer; John M. Drake; Marcus Alexander Zokan; Andrew M. Kramer; John M. Drake (2022). Data from: Zooplankton species diversity in the temporary wetland system of the Savannah River Site, South Carolina, USA [Dataset]. http://doi.org/10.5061/dryad.541q2
    Explore at:
    Dataset updated
    May 31, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Marcus Alexander Zokan; Andrew M. Kramer; John M. Drake; Marcus Alexander Zokan; Andrew M. Kramer; John M. Drake
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    South Carolina
    Description

    Understanding how diverse species communities develop and how the species within them coexist is one of the central questions in community ecology. The temporary wetland system occurring on the Savannah River Site near Aiken, South Carolina is home to the most species rich temporary wetland zooplankton assemblage known in the world. While previous research has documented this remarkable diversity, there has been little study directed at understanding how diversity is distributed at the landscape and local scales or on investigating potential mechanisms of what has led to the high richness of this system. The collection of studies presented here examine diversity patterns in the zooplankton community, links these patterns to spatial and temporal variation, experimentally tests the effects of two important environmental factors on diversity, and describes two new species. Results indicate that long hydroperiod lengths were associated with high species richness. Wetlands with similar species assemblages were generally closer together, suggesting the importance of dispersal. Over the course of a year, diversity increased during the spring and summer months and declined toward the fall, these changes were associated with low pH, low conductivity, and high water temperature. Vegetated areas within wetlands had greater diversity than did unvegetated areas, and diversity was particularly low in areas of decaying vegetation. Temporal comparisons provide evidence for distinct seasonal communities that arise every year. Experimental tests of the impact of hydroperiod length on diversity found that shorter hydroperiods resulted in reduced species richness, and communities dominated by just a few species. Predation was found to have no effect on diversity or community composition. During investigation of the diversity of these wetlands, two new species of the genus Chydorus were discovered and described. These two species differ from congeners both in morphology and phylogenetically. Together these studies describe how environmental variation can impact the diversity of the zooplankton communities within temporary wetlands and show how hydroperiod limits the richness of these systems. The results presented here provide insight into the forces that may lead to diverse communities in temporary wetlands, providing direction for future research into these dynamic ecosystems.

  14. Salters, SC, US Demographics 2025

    • point2homes.com
    html
    Updated 2025
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    Point2Homes (2025). Salters, SC, US Demographics 2025 [Dataset]. https://www.point2homes.com/US/Neighborhood/SC/Salters-Demographics.html
    Explore at:
    htmlAvailable download formats
    Dataset updated
    2025
    Dataset authored and provided by
    Point2Homeshttps://plus.google.com/116333963642442482447/posts
    Time period covered
    2025
    Area covered
    Salters, South Carolina, United States
    Variables measured
    Asian, Other, White, 2 units, Over 65, Median age, Blue collar, Mobile home, 3 or 4 units, 5 to 9 units, and 69 more
    Description

    Comprehensive demographic dataset for Salters, SC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

  15. F

    White to Non-White Racial Dissimilarity (5-year estimate) Index for Union...

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). White to Non-White Racial Dissimilarity (5-year estimate) Index for Union County, SC [Dataset]. https://fred.stlouisfed.org/series/RACEDISPARITY045087
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Union County, South Carolina
    Description

    Graph and download economic data for White to Non-White Racial Dissimilarity (5-year estimate) Index for Union County, SC (RACEDISPARITY045087) from 2009 to 2023 about Union County, SC; racial dissimilarity; non-white; white; SC; 5-year; and USA.

  16. Saint Helena Island, SC, US Demographics 2025

    • point2homes.com
    html
    Updated 2025
    + more versions
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    Point2Homes (2025). Saint Helena Island, SC, US Demographics 2025 [Dataset]. https://www.point2homes.com/US/Neighborhood/SC/Saint-Helena-Island-Demographics.html
    Explore at:
    htmlAvailable download formats
    Dataset updated
    2025
    Dataset authored and provided by
    Point2Homeshttps://plus.google.com/116333963642442482447/posts
    Time period covered
    2025
    Area covered
    Saint Helena Island, South Carolina, United States
    Variables measured
    Asian, Other, White, 2 units, Over 65, Median age, Blue collar, Mobile home, 3 or 4 units, 5 to 9 units, and 70 more
    Description

    Comprehensive demographic dataset for Saint Helena Island, SC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

  17. F

    White to Non-White Racial Dissimilarity (5-year estimate) Index for...

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). White to Non-White Racial Dissimilarity (5-year estimate) Index for Greenville County, SC [Dataset]. https://fred.stlouisfed.org/series/RACEDISPARITY045045
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Greenville County, South Carolina
    Description

    Graph and download economic data for White to Non-White Racial Dissimilarity (5-year estimate) Index for Greenville County, SC (RACEDISPARITY045045) from 2009 to 2023 about Greenville County, SC; Greenville; racial dissimilarity; non-white; white; SC; 5-year; and USA.

  18. p

    South Carolina Virtual Charter School

    • publicschoolreview.com
    json, xml
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    Public School Review, South Carolina Virtual Charter School [Dataset]. https://www.publicschoolreview.com/south-carolina-virtual-charter-school-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2019 - Dec 31, 2025
    Area covered
    South Carolina
    Description

    Historical Dataset of South Carolina Virtual Charter School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2019-2023),Total Classroom Teachers Trends Over Years (2019-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2019-2023),Asian Student Percentage Comparison Over Years (2019-2023),Hispanic Student Percentage Comparison Over Years (2019-2023),Black Student Percentage Comparison Over Years (2019-2023),White Student Percentage Comparison Over Years (2019-2023),Two or More Races Student Percentage Comparison Over Years (2021-2023),Diversity Score Comparison Over Years (2019-2023),Free Lunch Eligibility Comparison Over Years (2019-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2019-2023),Reading and Language Arts Proficiency Comparison Over Years (2019-2022),Math Proficiency Comparison Over Years (2019-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2019-2023),Graduation Rate Comparison Over Years (2019-2023)

  19. p

    Virtus Academy Of South Carolina

    • publicschoolreview.com
    json, xml
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    Public School Review, Virtus Academy Of South Carolina [Dataset]. https://www.publicschoolreview.com/virtus-academy-of-south-carolina-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2019 - Dec 31, 2025
    Area covered
    South Carolina
    Description

    Historical Dataset of Virtus Academy Of South Carolina is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2019-2023),Total Classroom Teachers Trends Over Years (2019-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2019-2023),Asian Student Percentage Comparison Over Years (2019-2023),Hispanic Student Percentage Comparison Over Years (2019-2023),Black Student Percentage Comparison Over Years (2019-2023),White Student Percentage Comparison Over Years (2019-2023),Two or More Races Student Percentage Comparison Over Years (2019-2023),Diversity Score Comparison Over Years (2019-2023),Free Lunch Eligibility Comparison Over Years (2019-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2019-2023),Reading and Language Arts Proficiency Comparison Over Years (2019-2022),Math Proficiency Comparison Over Years (2019-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2019-2023)

  20. Data from: Convenience Store Crime in Georgia, Massachusetts, Maryland,...

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Nov 14, 2025
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    National Institute of Justice (2025). Convenience Store Crime in Georgia, Massachusetts, Maryland, Michigan, and South Carolina, 1991-1995 [Dataset]. https://catalog.data.gov/dataset/convenience-store-crime-in-georgia-massachusetts-maryland-michigan-and-south-carolina-1991-32026
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    Dataset updated
    Nov 14, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    Michigan, South Carolina
    Description

    For this study, convenience store robbery victims and offenders in five states (Georgia, Massachusetts, Maryland, Michigan, and South Carolina) were interviewed. Robbery victims were identified by canvassing convenience stores in high-crime areas, while a sample of unrelated offenders was obtained from state prison rolls. The aims of the survey were to address questions of injury, to examine store characteristics that might influence the rate of robbery and injury, to compare how both victims and offenders perceived the robbery event (including their assessment of what could be done to prevent convenience store robberies in the future), and to identify ways in which the number of convenience store robberies might be reduced. Variables unique to Part 1, the Victim Data file, provide information on how the victim was injured, whether hospitalization was required for the injury, if the victim used any type of self-protection, and whether the victim had been trained to handle a robbery. Part 2, the Offender Data file, presents variables describing offenders' history of prior convenience store robberies, whether there had been an accomplice, motive for robbing the store, and whether various factors mattered in choosing the store to rob (e.g., cashier location, exit locations, lighting conditions, parking lot size, the number of clerks working, weather conditions, the time of day, and the number of customers in the store). Found in both files are variables detailing whether a victim injury occurred, use of a weapon, how each participant behaved, perceptions of why the store was targeted, what could have been done to prevent the robbery, and ratings by the researchers on the completeness, honesty, and cooperativeness of each participant during the interview. Demographic variables found in both the victim and offender files include age, gender, race, and ethnicity.

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Neilsberg Research (2025). South Carolina Population Breakdown By Race (Excluding Ethnicity) Dataset: Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/7599e982-ef82-11ef-9e71-3860777c1fe6/

South Carolina Population Breakdown By Race (Excluding Ethnicity) Dataset: Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2025 Edition

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csv, jsonAvailable download formats
Dataset updated
Feb 21, 2025
Dataset authored and provided by
Neilsberg Research
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
South Carolina
Variables measured
Asian Population, Black Population, White Population, Some other race Population, Two or more races Population, American Indian and Alaska Native Population, Asian Population as Percent of Total Population, Black Population as Percent of Total Population, White Population as Percent of Total Population, Native Hawaiian and Other Pacific Islander Population, and 4 more
Measurement technique
The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and do not rely on any ethnicity classification. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
Dataset funded by
Neilsberg Research
Description
About this dataset

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.

Content

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:

  • White
  • Black or African American
  • American Indian and Alaska Native
  • Asian
  • Native Hawaiian and Other Pacific Islander
  • Some other race
  • Two or more races (multiracial)

Variables / Data Columns

  • Race: This column displays the racial categories (excluding ethnicity) for the South Carolina
  • Population: The population of the racial category (excluding ethnicity) in the South Carolina is shown in this column.
  • % of Total Population: This column displays the percentage distribution of each race as a proportion of South Carolina 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 Carolina Population by Race & Ethnicity. You can refer the same here

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