The land area of Greenville, SC was 29 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 Greenville, SC

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    African Nova Scotian Family Names by Region | Last Updated 2018-07-18T19:11:44.000Z

    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.

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    Special Protection Area Review Data | Last Updated 2022-08-01T19:53:55.000Z

    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.

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    United States COVID-19 Community Levels by County | Last Updated 2022-08-11T20:38:43.000Z

    <b>August 11, 2022:</b> COVID-19 Community Level (CCL) data for the week of August 4, 2022 for South Carolina have been updated to correct a data collection error that resulted in incorrect case data. CDC and its partners have resolved the issue and the correction is reflected in this update. This public use dataset has 11 data elements reflecting United States COVID-19 community levels for all available counties. This dataset contains the same values used to display information available on the COVID Data Tracker at: The data are updated weekly. CDC looks at the combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days — to determine the COVID-19 community level. The COVID-19 community level is determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge. Using these data, the COVID-19 community level is classified as low, medium, or high. COVID-19 Community Levels can help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals. See for more information. For the most accurate and up-to-date data for any county or state, visit the relevant health department website. COVID Data Tracker may display data that differ from state and local websites. This can be due to differences in how data were collected, how metrics were calculated, or the timing of web updates. <b>Note:</b> This dataset was renamed from "United States COVID-19 Community Levels by County as Originally Posted" to "United States COVID-19 Community Levels by County" on March 31, 2022. <b>March 31, 2022:</b> Column name for county population was changed to “county_population”. No change was made to the data points previous released. <b>March 31, 2022:</b> New column, “health_service_area_population”, was added to the dataset to denote the total population in the designated Health Service Area based on 2019 Census estimate. <b>March 31, 2022:</b> FIPS codes for territories American Samoa, Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands were re-formatted to 5-digit numeric for records released on 3/3/2022 to be consistent with other records in the dataset. <b>March 31, 2022:</b> Changes were made to the text fields in variables “county”, “state”, and “health_service_area” so the formats are consistent across releases. <b>March 31, 2022:</b> The “%” sign was removed from the text field in column “covid_inpatient_bed_utilization”. No change was made to the data. As indicated in the column description, values in this column represent the percentage of staffed inpatient beds occupied by COVID-19 patients (7-day average). <b>March 31, 2022:</b> Data values for columns, “county_population”, “health_service_area_number”, and “health_service_area” were backfilled for records released on 2/24/2022. These columns were added since the week of 3/3/2022, thus the values were previously missing for records released the week prior. <b>April 7, 2022:</b> Updates made to dat

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    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.

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    Mosquitoes Trap Data (May 2011 to Sep 2015) | Last Updated 2019-08-08T16:54:13.000Z

    Capture results of mosquitoes from various locations in Edmonton. These collections are from standard New Jersey light traps that are commonly used to record changes in abundance of mosquitoes before and after control campaigns and to compare seasonal and annual fluctuations in population. Since not all mosquito species are attracted equally to light traps, the City uses a variety of other trapping and survey methods (with their own limitations) to monitor mosquitoes. Not all trap collection sites are factored into the historical averages. Some data can be incomplete due to trap failure. Some trap locations change over time. Trap collections reflect, not absolute population levels, but mosquito activity, which is influenced by changing environmental conditions (temperature, humidity, wind, etc.). The weekly averages do not include any male mosquitoes or any females of species that do not typically bite people. Each data set reflects the mosquito activity of the week previous to the collection date. To complement this dataset, there is the Rainfall Guage data which measures rainfall data in the Greater Edmonton area -

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    Stormwater Management Concept Information | Last Updated 2022-08-10T09:50:23.000Z

    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.

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    Service Requests since 2016 | Last Updated 2022-08-11T06:29:47.000Z

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

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    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.

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    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.

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    Mosquito Larval Counts | Last Updated 2022-08-08T18:03:15.000Z

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