The land area of St. Marys, GA was 23 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.

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Geographic and Area Datasets Involving St. Marys, GA

  • API

    Surface Water Quality Monitoring Network Continuous Water Quality Data

    data.novascotia.ca | Last Updated 2021-06-17T12:39:44.000Z

    The Nova Scotia Automated Surface Water Quality Monitoring Network was established in 2002 to assess water quality in surface waters across the province at five stations (and one discontinued station, St Mary's River).  The results are used to help manage water resources, determine baseline water quality in lakes and watercourses throughout the province, evaluate the impact of human activities on surface water, and assess long term trends in water quality. The following weblink connects to a Nova Scotia Environment web map that includes the six monitoring station locations within the province and an alternative method for downloading the same datasets: http://nse.maps.arcgis.com/apps/webappviewer/index.html?id=7ded7a30bef44f848e8a4fc8672c89bd

  • API

    Next Generation Simulation (NGSIM) Vehicle Trajectories and Supporting Data

    datahub.transportation.gov | Last Updated 2020-06-22T19:15:56.000Z

    Researchers for the Next Generation Simulation (NGSIM) program collected detailed vehicle trajectory data on southbound US 101 and Lankershim Boulevard in Los Angeles, CA, eastbound I-80 in Emeryville, CA and Peachtree Street in Atlanta, Georgia. Data was collected through a network of synchronized digital video cameras. NGVIDEO, a customized software application developed for the NGSIM program, transcribed the vehicle trajectory data from the video. This vehicle trajectory data provided the precise location of each vehicle within the study area every one-tenth of a second, resulting in detailed lane positions and locations relative to other vehicles. Click the "Show More" button below to find additional contextual data and metadata for this dataset.

  • API

    Water Resources Work Orders from 10/01/2016 to present

    stat.stpete.org | Last Updated 2021-08-02T07:07:34.000Z

    Water resources work orders from Oct 1, 2016 to present. Each line represents an asset and work order. If a work order has more than one asset, it will have more than one line.

  • API

    Maryland Median Household Income By Year With Margin Of Error: 2010-2018

    opendata.maryland.gov | Last Updated 2020-09-29T23:27:48.000Z

    The data consist of the median household income by the year in Maryland and the margin of error of the median income from 2010-2018. MOE= Margin of Error for the 90% confidence interval. Source from the U.S. Census Bureau, Small Area Income and Poverty Estimates, May 2019.

  • API

    St. Petersburg Action Center Data

    stat.stpete.org | Last Updated 2021-07-30T09:19:51.000Z

    This dataset is updated daily and contains a log of citizen requests to the Mayor's Action Center dating back to June 2014. These records describe requests for assistance with City services or reported problems, such as potholes, graffiti, broken sidewalks, storm drain issues, traffic signal/sign problems, special pick-up of dumped items, codes violations, etc. This data is used to power the city's St Pete Stat application at statmap.stpete.org. Visit this site to see maps and stats about the City's closure rates for Action Center tickets, or search tickets in your neighborhood. Citizens submit requests for service through St. Pete's See Click Fix application. See http://www.stpete.org/action-center.php for more information.

  • API

    Special Protection Area Review Data

    data.montgomerycountymd.gov | Last Updated 2021-08-02T09:40:19.000Z

    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

    Poverty Rate With Margin Of Error, 2010-2018

    opendata.maryland.gov | Last Updated 2020-10-29T23:06:06.000Z

    The data consist of the poverty rate by year in Maryland and the margin of error of the poverty rate from 2010 to 2018. MOE=Margin of Error for the 90% confidence interval. Sourced from the U.S. Census Bureau, Small Area Income and Poverty Estimates.

  • API

    Aquatic Biological Monitoring Sampling Locations: Beginning 1980

    data.ny.gov | Last Updated 2020-11-11T03:17:07.000Z

    The Division of Water Stream Biomonitoring Unit (SBU) dataset contains the point sampling locations at which benthic macroinvertebrates, field chemistry, and at some locations, sediment, fish or diatoms have been collected as part of the Rotating Integrated Basin Studies (RIBS) program, Rapid Biological Assessments (RAS), or special studies. The data collected are used for water quality assessment (input to the Waterbody Inventory, completion of the 305(b) report and 303(d) list of impaired Waters) and for track-down of water quality problems. The data set is maintained by the Division of Water, Bureau of Water Assessment and Management, Stream Biomonitoring Unit.

  • API

    DWR Dam Safety Jurisdictional Dam

    data.colorado.gov | Last Updated 2021-08-02T06:04:00.000Z

    A Jurisdictional Dam is a dam creating a reservoir with a capacity of more than 100 acre-feet, or creates a reservoir with a surface area in excess of 20 acres at the high-water line, or exceeds 10 feet in height measured vertically from the elevation of the lowest point of the natural surface of the ground where that point occurs along the longitudinal centerline of the dam up to the crest of the emergency spillway of the dam. For reservoirs created by excavation, or where the invert of the outlet conduit is placed below the surface of the natural ground at its lowest point beneath the dam, the jurisdictional height shall be measured from the invert of the outlet at the longitudinal centerline of the embankment or from the bottom of the excavation at the longitudinal centerline of the dam, whichever is greatest. Jurisdictional height is defined in Rule 4.2.19. The State Engineer shall have final authority over determination of the jurisdictional height of the dam.

  • API

    Surface Water Quality Monitoring Network Grab Sample Water Quality Data

    data.novascotia.ca | Last Updated 2021-06-17T12:36:12.000Z

    The Nova Scotia Automated Surface Water Quality Monitoring Network was established in 2002 to assess water quality in surface waters across the province at five stations. In 2019 the station list was modified to reduce overlap with Environment and Climate Change Canada surface water quality monitoring stations. The results are used to help manage water resources, determine baseline water quality in lakes and watercourses throughout the province, evaluate the impact of human activities on surface water, and assess long term trends in water quality. The following weblink connects to a Nova Scotia Department of Environment and Climate Change web map that includes the five monitoring station locations within the province and an alternative method for downloading the same datasets: http://nse.maps.arcgis.com/apps/webappviewer/index.html?id=7ded7a30bef44f848e8a4fc8672c89bd