The land area of Charleston County, SC was 916 in 2018.

Land Area

Water Area

Land area is a measurement providing the size, in square miles, of the land portions of geographic entities for which the Census Bureau tabulates and disseminates data. Area is calculated from the specific boundary recorded for each entity in the Census Bureau's geographic database. Land area is based on current information in the TIGER® data base, calculated for use with Census 2010.

Water Area figures include inland, coastal, Great Lakes, and territorial sea water. Inland water consists of any lake, reservoir, pond, or similar body of water that is recorded in the Census Bureau's geographic database. It also includes any river, creek, canal, stream, or similar feature that is recorded in that database as a two- dimensional feature (rather than as a single line). The portions of the oceans and related large embayments (such as Chesapeake Bay and Puget Sound), the Gulf of Mexico, and the Caribbean Sea that belong to the United States and its territories are classified as coastal and territorial waters; the Great Lakes are treated as a separate water entity. Rivers and bays that empty into these bodies of water are treated as inland water from the point beyond which they are narrower than 1 nautical mile across. Identification of land and inland, coastal, territorial, and Great Lakes waters is for data presentation purposes only and does not necessarily reflect their legal definitions.

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

2. To build your own apps using this data, see the ODN Dataset and API links.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g.

Geographic and Area Datasets Involving Charleston County, SC

  • API

    LA County VMT by City (2016) (Modelled) | Last Updated 2019-12-06T23:13:12.000Z

    Emissions from passenger vehicles and trucks are estimated based on VMT by vehicle type. VMT for each jurisdiction is estimated using trip-based travel forecasting models developed by Southern California Association of Governments (SCAG). SCAG’s regional travel demand model analyzes transportation network and socioeconomic data such as population, household, and employment, to forecast daily vehicle trips for each traffic analysis zone (TAZ). Model outputs include: • Vehicle trips by type: including cars, light trucks, medium duty trucks, heavy duty trucks, and transit vehicles • Vehicle trip lengths by trip purpose • Vehicle trip origins and destinations Based on vehicle trips analysis, VMT calculations are performed for all cities within LA County (except for the City of Avalon), including unincorporated areas that are under direct County control. Using CARB Emissions Factors (EMFAC) model, CO2 and N2O emissions are estimated by multiplying emissions rates with vehicle activity data in all cities and unincorporated areas within the South Coast (SC) sub-area and the Mojave Desert (MD) sub-area. Sub-area emissions are then disaggregated based on speed bin by time of day and vehicle profile to estimate GHG emissions from into passenger vehicle and heavy duty trucks.

  • API

    Special Protection Area Review Data | Last Updated 2022-05-05T09:40:20.000Z

    A Special Protection Area (SPA) is a geographic area designated by the County Council which has high quality or unusually sensitive water resources and environmental features that would be threatened by proposed land development if special water quality protection measures were not applied. This dataset tracks reviews for development in all SPAs. Update Frequency : Daily.

  • API

    Current Descriptive Data of Municipal Wastewater Treatment Plants | Last Updated 2019-06-10T18:04:47.000Z

    Data containing municipal wastewater treatment plant design other features, with data current through the most recent survey.

  • API

    Service Requests since 2016 | Last Updated 2022-05-18T06:29:54.000Z

    This dataset contains all service requests that were created since 01-January-2016

  • API

    Opportunity Zones | Last Updated 2022-05-04T18:09:05.000Z

    Opportunity Zones are a new community development program established by Congress as a part of the Tax Cuts and Jobs Act of 2017, they are designed to encourage long-term private investments in low-income communities. This program provides a federal tax incentive for taxpayers who reinvest unrealized capital gains into "Opportunity Funds," which are specialized vehicles dedicated to investing in low-income areas called "Opportunity Zones."The zones themselves are to be comprised of low-income community census tracts and designated by governors in every state. South Carolina designated 25 percent of qualifying census tracts as an Opportunity Zone. Qualifying Zones are based on the 2011-2015 American Community Survey.

  • API

    Channel Migration Zone Floodway | Last Updated 2022-01-27T08:09:59.000Z

    As part of a Channel Migration Zone Study, GeoEngineers, Inc. was contracted by Pierce County, Public Works Surface Water Management formerly “Water Programs” Division to create a series of shapefiles including the SPC_Migration_Potential_Areas.shp. Pierce_Migration_Potential_Areas.shp combines the include severe, moderate or low migration potential areas. GeoEngineers, Inc. completed migration potential studies of the White, Puyallup and Carbon Rivers (completed 2003 adopted 2005), South Prairie Creek (completed 2005 adopted 2017) and Upper Nisqually River (completed 2007 adopted 2017). These were accepted by SWM and Adopted by County Council.The MPA delineation involved identifying severe, moderate and low migration potential areas within the delineated CMZ. The MPA delineation approach is similar to that employed in our CMZ analysis; that future rates and character of migration will be similar to those of the past for similar water discharges, sediment influx, and debris entrainment conditions. This analysis was also based on the absence of levees, revetments and other confining structures. The width of each MPA was measured, based on delineation criteria developed specifically for this project, and then adjusted to accommodate geomorphic conditions not accounted for in the maximum migration rates. Criteria developed for mapping severe, moderate and low MPA are provided in the following paragraphs: Severe MPA includes the area lying inside the HCOT, and an area immediately outside the HCOT boundary equivalent to a distance the channel could travel in a specified period. The extent of the Severe Migration Potential Area outside the HCOT boundary is determined by two criteria. The first criterion is the distance the outside channel edge could travel in 10 years of steady lateral migration away from the HCOT boundary (Maximum lateral migration rates multiplied by a ten- year period). The second is defined by the distance the outside channel edge could travel in storm single event (i.e. maximum overnight rate) from the current channel position (2002). The landward most boundary of the two criteria defines the Severe Migration Potential Area.Moderate MPA includes areas adjacent to the outside edge of the severe migration potential area. The width of the moderate migration potential area is determined by the distance the outside channel edge could travel in five years (for South Prairie Creek 10 years) of steady lateral migration beyond the outside edge of the severe migration potential area. The CMZ boundary will serve as the outside edge of the moderate migration potential boundary at sites where the distance between the severe migration potential boundary and the CMZ boundary represents less the five years (for South Prairie Creek 10 years)of steady lateral migration. Moderate migration potential areas are not included at sites where the outside edge of the severe migration potential area is determined by the location of the CMZ boundary. The rate of migration used in the calculation is the maximum average rate of migration for each geomorphic reach (measured as described above). In some places the width of the Moderate Migration Potential Area may be modified based on geologic interpretation, professional judgment. Low MPA includes areas adjacent to the outside edge of the moderate migration potential area. The extent of the Low Migration Potential Area beyond the moderate migration potential boundary will be determined by CMZ boundary, as determined by our CMZ evaluation. Low migration potential areas will not be included at sites where the outside edge of either a severe or moderate migration potential area is determined by the location of the CMZ boundary. The most common adjustments typically involved widening the moderate MPA to include ancient abandoned channel deemed capable of arresting main stem flow in an avulsion event. Other common Moderate MPA adjustments involved increasing or decreasing the ba

  • API

    Deep and/or Fast Flowing Floodway | Last Updated 2021-10-12T18:58:37.000Z

    Northwest Hydraulic Consultants, Inc (NHC) was contracted by Pierce County Surface Water Management to develop a map of the Deep and Fast Flowing (DFF) regulated Floodway in Pierce County because this area is not mapped by FEMA and it is not intuitive where this floodway is located within the floodplain. NHC wrote the metadata. Deep and/or fast-flowing (DFF) floodway boundary for Puyallup, Carbon, Mashell, and White Rivers, South Prairie Creek, Fennel Creek, Wapato Creek, Canyon Creek, Clarks Creek, Clear Creek, Diru Creek, Rody Creek, Clover Creek, Spanaway Creek, Morey Creek, Crescent Creek, Artondale Creek, Lacamas Creek, and Swan Creek. DFF floodway determined only for detailed study areas from new (2001-2007) model studies. For additional information on this theme Please contact Dennis Dixon at 253-798-3696 for the DFF Report.pdf. Please read metadata for additional information ( Any data download constitutes acceptance of the Terms of Use (

  • API

    South Sudan Unity State Baseline Report: WASH | Last Updated 2020-04-29T18:05:15.000Z

    To get a better understanding and assess the severity of the nutrition and mortality situation in Mayendit County, implementing partners conducted a Nutrition and Mortality SMART survey from the 10th to 23rd of December, 2015. The overall survey objective was to determine the nutrition status among children aged 6 to 59 months and to estimate crude and under-five retrospective mortality rates in Mayendit County, Unity State. Data collected included morbidity data (two-week recall), immunization and supplementation coverage, and a qualitative component on Food Security and Livelihoods (FSL).

  • API

    Beach Report Card Scores (2013-2018) | Last Updated 2019-12-06T22:39:37.000Z

    Grades, beach location and analysis from Heal the Bay's Beach Report Card was used (2013-2018), which uses a 12-month grading period from April to March. Seasonal patterns of the most recent year’s grades (2017-2018), as well as trends over the last five years were used. As defined in Assembly Bill 411 in California, the summer dry grading period is from April through October. The winter dry weather grading period is from November through March. The year-round wet weather conditions are graded from April through March. Values may not add up to exactly 100% due to rounding.

  • API

    City of Gainesville 2020 Neighbor Survey - Raw Data | Last Updated 2020-09-01T20:56:17.000Z

    This dataset includes the raw results from the City of Gainesville 2020 Neighborhood Survey. Please view the survey, given here: for reference to columns within this dataset. Responses of "9" for questions on a 1-5 scale indicate a non-response or a response of "Don't know".