8 datasets found
  1. s

    20 Richest Cities in South Carolina

    • southcarolina-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). 20 Richest Cities in South Carolina [Dataset]. https://www.southcarolina-demographics.com/richest_cities
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.southcarolina-demographics.com/terms_and_conditionshttps://www.southcarolina-demographics.com/terms_and_conditions

    Area covered
    South Carolina
    Description

    A dataset listing the 20 richest cities in South Carolina for 2024, including information on rank, city, county, population, average income, and median income.

  2. i

    Richest Zip Codes in South Carolina

    • incomebyzipcode.com
    Updated Dec 18, 2024
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    Cubit Planning, Inc. (2024). Richest Zip Codes in South Carolina [Dataset]. https://www.incomebyzipcode.com/southcarolina
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    Dataset updated
    Dec 18, 2024
    Dataset authored and provided by
    Cubit Planning, Inc.
    License

    https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS

    Area covered
    South Carolina
    Description

    A dataset listing the richest zip codes in South Carolina per the most current US Census data, including information on rank and average income.

  3. s

    20 Richest Counties in South Carolina

    • southcarolina-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). 20 Richest Counties in South Carolina [Dataset]. https://www.southcarolina-demographics.com/counties_by_population
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.southcarolina-demographics.com/terms_and_conditionshttps://www.southcarolina-demographics.com/terms_and_conditions

    Area covered
    South Carolina
    Description

    A dataset listing South Carolina counties by population for 2024.

  4. Real Estate Data South Carolina 2025

    • kaggle.com
    Updated Jul 8, 2025
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    Kanchana1990 (2025). Real Estate Data South Carolina 2025 [Dataset]. http://doi.org/10.34740/kaggle/ds/7823602
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 8, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Kanchana1990
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Area covered
    South Carolina
    Description

    South Carolina Real Estate Dataset 2025

    Dataset Overview

    This comprehensive real estate dataset contains over 5,000 property listings from South Carolina, collected in 2025 from Realtor.com using apify api. The dataset captures diverse property types including single-family homes, condominiums, land parcels, townhomes, and other residential properties. This dataset provides a rich snapshot of South Carolina's real estate market suitable for predictive modeling, market analysis, and investment research.

    Data Science Applications

    • Price Prediction Models: Build regression models (Random Forest, XGBoost, Neural Networks) to predict property values based on size, location, bedrooms, and age
    • Property Type Classification: Develop multi-class classifiers to categorize properties based on physical characteristics
    • Market Segmentation: Apply clustering algorithms (K-means, DBSCAN) to identify distinct property segments and price brackets
    • Time Series Analysis: Analyze construction trends and property age distributions to forecast future development patterns
    • Investment Opportunity Detection: Create anomaly detection models to identify undervalued properties or outliers
    • Feature Engineering: Generate derived features like price per square foot, bathroom-to-bedroom ratios for enhanced model performance

    Column Descriptors

    • type: Primary property category (single_family, condos, land, townhomes, multi_family, farm)
    • sub_type: Detailed property classification (condo, townhouse, co_op)
    • sqft: Property size in square feet
    • baths: Number of bathrooms (decimal values indicate half baths)
    • beds: Number of bedrooms
    • stories: Number of floors/stories in the property
    • year_built: Construction year of the property
    • listPrice: Property listing price in USD

    Ethically Obtained Data

    This dataset was ethically scraped from publicly available listings on Realtor.com and is provided strictly for educational and learning purposes only. The data collection complied with ethical web scraping practices and contains only publicly accessible information. Users should utilize this dataset exclusively for academic research, educational projects, and learning data science techniques. Any commercial use is strictly prohibited.

  5. d

    "Let Me Tell You About the Very Rich." Archaeological Data Recovery at...

    • dataone.org
    • search.dataone.org
    Updated May 10, 2013
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    Gardner, Jeffrey W.; Fletcher, Joshua N.; Poplin, Carol; Poplin, Eric C. (2013). "Let Me Tell You About the Very Rich." Archaeological Data Recovery at 38BU1788 and 38BU1804 Palmetto Bluff, Beaufort County, South Carolina [Dataset]. http://doi.org/10.6067/XCV8GH9JTJ
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    Dataset updated
    May 10, 2013
    Dataset provided by
    the Digital Archaeological Record
    Authors
    Gardner, Jeffrey W.; Fletcher, Joshua N.; Poplin, Carol; Poplin, Eric C.
    Area covered
    Description

    Brockington and Associates, Inc., conducted archaeological data recovery investigations at 38BU1804 between 26 June and 2 August 2002 and at 38BU1788 on 2-12 December 2002 under the Memorandum of Agreement (MOA) between Palmetto Bluff, LLC, the State Historic Preservation Officer (SHPO), and the SC Bureau of Ocean and Coastal Resource Management (OCRM) for each site. The investigations at both sites were conducted in partial fulfillment of the stipulations of the MOA, under Treatment Plans approved by the SHPO. The SHPO approved the 38BU1804 Treatment Plan on June 25, 2002, and the 38BU1788 Treatment Plan on October 23,2002. The SHPO’s acceptance of the 38BU1804 Management Summary on September 19, 2002 and the 38BU1788 Management Summary on February 11, 2003, permitted initiation of land disturbing activities within each site. Archaeological sites 38BU1804 and 38BU1788 are located in the “Village Area” of the Palmetto Bluff Phase I Tract, Beaufort County, South Carolina. The owner of the tract, Palmetto Bluff, LLC, proposes to develop the area as a residential and commercial area.

    Site 38BU1804 was identified during an intensive cultural resources survey of the tract by Poplin (2002a). Gardner et al. (2003) tested the site and recommended the remnants of the early twentieth century Wilson House eligible for the NRHP. Gardner et al. (2003) recommended either preservation of the building ruins and their immediate surroundings or data recovery investigations at the site should preservation not be feasible. Data recovery investigations at 38BU1804 entailed hand excavations and mechanical scraping of areas in the area of the Wilson House and several outlying areas where architectural/cultural features were expected. Investigators conducted extensive excavations in the Wilson House and also identified the remnants of six outlying structures associated with the Wilson House. We employed information gained from the mapped house foundation plan and recovered artifacts from the house, as well as inspection of a collection of photographs taken of the house exterior and interior, to determine an approximation of the arrangement of rooms within the house. Site 38BU1788 was identified during an intensive cultural resources survey of the tract by Poplin (2002a). Site 38BU1788 is a secondary refuse deposit associated with the Wilson House (38BU1804). Based on its association with the Wilson House, Poplin (2002a) recommended the site eligible for the NRHP. Data recovery investigations at 38BU1788 entailed surface collections, mechanical excavations, and hand excavations in the area of two refuse pits. Our excavations at the site revealed that a full complement of kitchen-related Wilson House refuse was discarded at the site. From our excavations, we created four bottle type collections that will be available for researchers to view and compare with collections of glass vessels from other sites.

    These investigations were conducted as proposed in the SHPO-approved Treatment Plans for data recovery at sites 38BU1804 and 38BU1788. These data recovery investigations recovered samples of significant information from each site. These samples were employed to address research questions consistent with the periods and type of occupation outlined in the Treatment Plans. Completion of these investigations is sufficient to resolve the adverse effect that proposed land disturbing activities will have on these NRHP sites. Land disturbing activities at 38BU1804 and38BU1788 should be allowed to proceed as planned.

  6. a

    Recreational Assets

    • scgiplan-gicinc.hub.arcgis.com
    Updated Mar 9, 2023
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    GIC_INC (2023). Recreational Assets [Dataset]. https://scgiplan-gicinc.hub.arcgis.com/items/8703fd0c6d1042c49b911abe2b90ed8b
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    Dataset updated
    Mar 9, 2023
    Dataset authored and provided by
    GIC_INC
    Area covered
    Description

    This map illustrates recreation that depends upon native landscapes and, as such, does not include manicured golf courses, smaller urban parks of ten acres or less, or sports fields. It does include significant recreational sites and parks; regional greenways and trails or bikeways; and water trails, public hunting and fishing, boat ramps or other related features. These sites are important public uses of natural landscapes and are further reasons why these landscapes should be protected. In addition, many outdoor activities, such as hunting, cross country horseback riding or paddle sports, depend upon a connected and unobstructed landscape to allow species to remain abundant and for people to enjoy them.

  7. U.S. real GDP of North Carolina 2000-2024

    • statista.com
    Updated Jul 31, 2025
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    Statista (2025). U.S. real GDP of North Carolina 2000-2024 [Dataset]. https://www.statista.com/statistics/188097/gdp-of-the-us-federal-state-of-north-carolina-since-1997/
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    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, the real gross domestic product (GDP) of North Carolina was 661.95 billion U.S. dollars. This is a significant increase from the previous year, when the state's GDP stood at 638.07 billion U.S. dollars.

  8. Clemson University Arthropod Collection

    • demo.gbif.org
    • gbif.org
    • +1more
    Updated Jul 16, 2025
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    Clemson University Arthropod Collection (2025). Clemson University Arthropod Collection [Dataset]. http://doi.org/10.15468/fvigdc
    Explore at:
    Dataset updated
    Jul 16, 2025
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Clemson University Arthropod Collection
    License

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

    Area covered
    Clemson
    Description

    The Clemson University Arthropod Collection (CUAC) supports the teaching, research, and extension activities of the University. The Collection consists of approximately 1.3 million specimens from Classes Insecta, Arachnida, Branchipoda, Copepoda, Diplopoda, and Chilopoda. The wet, alcohol-preserved collection is exceptionally rich, with over 1,000,000 specimens, nearly half of which are Trichoptera, or caddisflies, resulting from 40 years of work by Director Emeritus Dr. John Morse. The pinned, dry collection comprises only about 200,000 specimens, but also has strong regional representation of all the major orders. The CUAC collection serves as a permanent repository for specimens used in University research. It serves as a reference collection for identifying economically and ecologically significant samples sent in from all over South Carolina. The specimens in the collection also provide a historical record of the changing biota of the southeastern region dating back nearly 100 years. The Museum's educational displays are used to enhance University courses and are viewed by visitors to the Collection and by participants in demonstrations at off-campus venues.

  9. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Kristen Carney (2024). 20 Richest Cities in South Carolina [Dataset]. https://www.southcarolina-demographics.com/richest_cities

20 Richest Cities in South Carolina

Explore at:
Dataset updated
Jun 20, 2024
Dataset provided by
Cubit Planning, Inc.
Authors
Kristen Carney
License

https://www.southcarolina-demographics.com/terms_and_conditionshttps://www.southcarolina-demographics.com/terms_and_conditions

Area covered
South Carolina
Description

A dataset listing the 20 richest cities in South Carolina for 2024, including information on rank, city, county, population, average income, and median income.

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