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The land area of Georgia was 57,513 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 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 Georgia

  • API

    Monthly Unemployment Rates for Georgia Places

    sharefulton.fultoncountyga.gov | Last Updated 2023-01-30T16:56:12.000Z

    This dataset contains historic unemployment statistics for various geographies in the state of Georgia. Geographies include cities, counties and metropolitan areas. Statistics include unemployment rate, number unemployed, number employed and number in labor force. Monthly and annual statistics are provided from 1976 to present.

  • API

    U.S. County Populations (>65,000)

    sharefulton.fultoncountyga.gov | Last Updated 2023-01-30T18:41:01.000Z

    The data contains the total population for U.S. counties with a population of over 65,000 as reported in the U.S. Census American Community Survey 1-year Summary (B01001_001). Data will generally reflect the latest survey data available. Additional information includes fields with True/False flags indicating whether the county has a population over 1 million and half a million and whether the (Georgia) county is part of the Atlanta metropolitan statistical area, part of the core metropolitan area, a member of the Atlanta Regional Commission or part of the Metropolitan North Georgia Water Planning District.

  • API

    Next Generation Simulation (NGSIM) Vehicle Trajectories and Supporting Data

    datahub.transportation.gov | Last Updated 2024-05-01T01:04:05.000Z

    Click “Export” on the right to download the vehicle trajectory data. The associated metadata and additional data can be downloaded below under "Attachments". 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. For site-specific NGSIM video file datasets, please see the following: - NGSIM I-80 Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-I-80-Vide/2577-gpny - NGSIM US-101 Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-US-101-Vi/4qzi-thur - NGSIM Lankershim Boulevard Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-Lankershi/uv3e-y54k - NGSIM Peachtree Street Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-Peachtree/mupt-aksf

  • API

    COVID-19 Deaths by Demographic Grouping

    sharefulton.fultoncountyga.gov | Last Updated 2023-01-30T16:59:04.000Z

    This dataset consists of death rates from COVID-19 among Fulton County residents segmented by race, age and sex. The dataset is derived from data provided by the Georgia Department of Public Health at https://ga-covid19.ondemand.sas.com.

  • API

    Daily Comfirmed COVID-19 Cases by County

    sharefulton.fultoncountyga.gov | Last Updated 2023-01-30T18:50:11.000Z

    This dataset contains daily counts of confirmed COVID-19 cases and hospitalizations and death due to COVID-19 segmented by Georgia county. The data come from the Georgia Department of Public Health COVID-19 Dashboard at https://ga-covid19.ondemand.sas.com/.

  • API

    County by County Advance Voting Summary (August 2020)

    sharefulton.fultoncountyga.gov | Last Updated 2023-01-30T17:11:42.000Z

    This dataset shows a record of the cumulative number of people who have participated in advance voting for the August 11 runoff election in each county of Georgia.

  • API

    EMIS COVID19 Projections: 2

    sharefulton.fultoncountyga.gov | Last Updated 2023-01-30T18:50:10.000Z

    A second dataset for the covid projections from EMIS.

  • API

    Election Ballot Applications

    sharefulton.fultoncountyga.gov | Last Updated 2024-05-15T14:21:10.000Z

    This dataset is provided by the Georgia Secretary of State, and contains information on the status of absentee ballots for each voter who requested one.

  • API

    Water Levels and Flows

    data.edmonton.ca | Last Updated 2024-05-15T13:28:27.000Z

    A combining of data from 23 Water Level and Flow monitoring stations from water areas in Alberta that directly influence the Water Level and Flow of the North Saskatchewan River. A combination of data from 3 Water Level and Flow monitoring stations from water areas in Albert that directly influence the Water Level and Flow of the Sturgeon River. This data is sourced from the Government of Alberta website and as such the Government of Alberta's disclaimer covers this data. Government of Alberta Disclaimer: Data provided through this web app is provisional and preliminary in nature. Data is automatically generated by remote equipment that may not be under control of the Government of Alberta. This data has not been reviewed or edited for accuracy and may be subject to significant change when reviewed or corrected. Please exercise caution and carefully consider the provisional nature of the information provided. The Government of Alberta assumes no responsibility for the accuracy or completeness of this data and any use of it is therefore, entirely at your own risk. Additional Government of Alberta "Provisional Data Disclaimer": Alberta Environment routinely collects real-time hydrometeorological data from meteorological and stream gauges using telephone and communications satellites to support its water resources management activities. These gauges are owned and operated by different organizations and partners outside the Alberta Government. Near Real-Time data provided at this site are provisional and preliminary in nature. They are automatically generated by remote equipment that may not be under Alberta Government control and have not been reviewed or edited for accuracy. These data may be subject to significant change when manually reviewed and corrected. The accuracy of the data can be affected by many factors including: - malfunction of recording equipment - algal and aquatic growth in the stream which affects the stage-discharge relationship - backwater from ice or debris such as log jams - changes to the stream bed geometry Please exercise caution and carefully consider the provisional nature of the information provided. The Government of Alberta assumes no responsibility for the accuracy or completeness of these data and any use of them is entirely at your own risk. “

  • API

    Water Quality Sampling Data

    datahub.austintexas.gov | Last Updated 2024-05-15T08:28:32.000Z

    Data collected to assess water quality conditions in the natural creeks, aquifers and lakes in the Austin area. This is raw data, provided directly from our Water Resources Monitoring database (WRM) and should be considered provisional. Data may or may not have been reviewed by project staff. A map of site locations can be found by searching for LOCATION.WRM_SAMPLE_SITES; you may then use those WRM_SITE_IDs to filter in this dataset using the field SAMPLE_SITE_NO.