The land area of Greenville, SC was 29 in 2011.

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 http://opendatanetwork.com. 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. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Geographic and Area Datasets Involving Greenville, SC

  • API

    African Nova Scotian Family Names by Region

    data.novascotia.ca | Last Updated 2022-08-24T11:37:48.000Z

    The dataset provides the predominate and traditional family names of African Nova Scotians in 6 regions in Nova Scotia. The regions consist of Halifax Metro, South Shore and Yarmouth and Acadian Shore, Bay of Fundy and Annapolis Valley, Northumberland Shore, Eastern Shore and Cape Breton Island. Within all these regions you find 48+ traditional African Nova Scotian communities. The dataset will also provide the communities you can find in each of the six regions.

  • API

    Special Protection Area Review Data

    data.montgomerycountymd.gov | Last Updated 2024-09-12T09:40:27.000Z

    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

    Opportunity Zones

    data.delaware.gov | Last Updated 2023-01-12T18:55:22.000Z

    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

    Stormwater Management Concept Information

    data.montgomerycountymd.gov | Last Updated 2024-10-15T09:50:15.000Z

    A stormwater management concept is a statement or drawing, or both, describing the manner in which stormwater runoff from a proposed development will be controlled to minimize damage to neighboring properties and receiving streams and to also prevent the discharge of pollutants into surface waters. Update Frequency : Daily.

  • API

    Service Requests since 2016

    data.memphistn.gov | Last Updated 2024-10-31T07:10:18.000Z

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

  • API

    Current Descriptive Data of Municipal Wastewater Treatment Plants

    data.ny.gov | 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

    Land Use_data

    opendata.utah.gov | Last Updated 2024-04-10T19:40:16.000Z

    This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe’s Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe’s Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS.

  • API

    Mosquito Larval Counts

    data.edmonton.ca | Last Updated 2024-10-28T18:03:43.000Z

    Records of pools (bodies of water) sampled by city staff for presence of mosquito larvae.

  • API

    Channel Migration Zone Floodway

    open.piercecountywa.gov | Last Updated 2024-07-05T16:26:49.000Z

    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

    Channel Migration Zone Floodway

    internal.open.piercecountywa.gov | Last Updated 2024-07-05T16:51:14.000Z

    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