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The land area of Commerce, GA was 12 in 2016.

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 Commerce, GA

  • 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

    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

    Capital Projects

    data.fultoncountyga.gov | Last Updated 2024-10-05T07:40:24.000Z

    This dataset includes information on Fulton County capital projects planned, in progress or completed. A capital project is any project or work involving the construction, acquisition, or renovation of any building, structure, or other facility owned or to be acquired by the county. Most capital projects are managed by the Department of Public Works and the Department of Real Estate and Asset Management.

  • API

    NOAA - Annual number of Uncrewed System (UxS) dives to explore and characterize the U.S. Exclusive Economic Zone (EEZ) sites.

    performance.commerce.gov | Last Updated 2024-03-28T20:23:24.000Z

    This measure tracks the number of dives that use imagery/video as well as other sensors that provided a multidisciplinary first-look at an unknown or poorly understood area of the ocean. These data can be collected using a variety of platforms including ROVs, AUVs, ASVs, etc. OER recognizes a distinction between exploration and characterization. Exploration is conducted using a suite of tools and techniques that provides a multidisciplinary first-look at an unknown or poorly understood area of the ocean. The outcome is intended to be sufficient to inform follow-on characterization, which provides comprehensive data for a specific area of interest of the seafloor, sub-bottom, and/or water column that supports specific research, resource management, policymaking, or applied mission objectives (this is not depth dependant unlike the mapping statistics).

  • API

    Safe Drinking Water Facilities Information System for Pennsylvania 2018 - Current Environmental Protection

    data.pa.gov | Last Updated 2022-10-24T13:20:24.000Z

    Safe Drinking Water Information System (SDWIS) is EPA’s national database that manages and collects public water system information from states, including reports of drinking water standard violations, reporting and monitoring violations, and other basic information. The data derived in the State of Pennsylvania is published and searchable online on the www.pa.gov website. This set contains the Water System Facility data, which will be updated annually for the prior calendar year in the first Quarter of the following year.

  • API

    Semi-Annual Real Wages for Fulton County, Metro Atlanta and U.S.

    sharefulton.fultoncountyga.gov | Last Updated 2024-09-11T15:00:47.000Z

    This dataset contains the average real wages for Fulton County, metro Atlanta and the U.S. calculated semi-annually. Real wages represent actual (nominal) wages adjusted for inflation using the Consumer Price Index (CPI). Real wages are expressed in terms of 1982-1984 dollars. Semi-annual numbers are used because local area wages are reported by the Bureau of Labor Statistics (BLS) quarterly and CPI is reported every two months; therefore, reporting periods coincide twice a year. Real wages are reported as moving 12-month averages in order to better illustrate the general trend over time. Nominal wages and CPI are from the BLS; semi-annual real wages are calculated by the Fulton County Strategy & Performance Management Office.

  • API

    Neighborly ERA Applications

    sharefulton.fultoncountyga.gov | Last Updated 2024-02-20T02:51:22.000Z

    This dataset contains all applicants for emergency rental and/or utility assistance in the Neighborly system.

  • API

    2018 Iowa County Subdivisions

    mydata.iowa.gov | Last Updated 2023-08-30T17:38:49.000Z

    This dataset contains the county subdivisions in Iowa, which are the primary divisions of counties for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. TIGER/Line Shapefiles are extracted from the Census MAF/TIGER database by nation, state, county, and entity. Census MAF/TIGER data for all of the aforementioned geographic entities are then distributed among the shapefiles each containing attributes for line, polygon, or landmark geographic data.

  • API

    ZONING_PLY

    data.lacity.org | Last Updated 2024-04-10T19:09:31.000Z

    Zoning is a tool used by the City of Los Angeles to designate, regulate and restrict the location and use of buildings, structures and land, for agriculture, residence, commerce, trade, industry or other purposes; to regulate and limit the height, number of stories, and size of buildings and other structures hereafter erected or altered to regulate and determine the size of yards and other open spaces and to regulate and limit the density of population; and for said purposes to divide the City into zones of such number, shape and area as may be deemed best suited to carry out these regulations and provide for their enforcement. Further, such regulations are deemed necessary in order to encourage the most appropriate use of land; to conserve and stabilize the value of property; to provide adequate open spaces for light and air, and to prevent and fight fires; to prevent undue concentration of population; to lessen congestion on streets; to facilitate adequate provisions for community utilities and facilities such as transportation, water, sewerage, schools, parks and other public requirements; and to promote health, safety, and the general welfare all in accordance with the comprehensive plan.

  • 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.