The land area of Mississippi was 46,923 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 Mississippi

  • API

    Downbound Barge Grain Movements (Tons)

    internal.agtransport.usda.gov | Last Updated 2024-05-09T16:22:29.000Z

    The Mississippi River (north of St. Louis, MO) and its tributaries (e.g., the Arkansas River, Illinois River, Ohio River, etc.) make use of a series of locks and dams to bring traffic up and down the waterways. Grain generally flows south from the relatively production-rich areas of the Midwest to export ports in Louisiana and feed markets in the southeast. This dataset provides weekly information on the amount (in tons), location, and commodity of barged grain transiting the following three major points: (1) the last lock on the Mississippi, Mississippi Locks 27 (called "Miss Locks 27" in the dataset), which captures downbound traffic from the Upper Mississippi and Missouri Rivers; (2) the last lock on the Ohio River, Olmsted Locks and Dam (called "Ohio Olmstead" in the dataset), which captures any downbound traffic on the Ohio and Tennessee Rivers; and (3) the last lock on the Arkansas River, Arkansas River Lock and Dam 1 (called "Ark Lock 1" in the dataset). Ohio Olmsted locks replaced Ohio Locks 52 beginning in November 2018. Commodities include "corn," "soybeans," "wheat," and "other" (oats, barley, sorghum, and rye). Combined, these three locks give a sense of barge grain traffic (by commodity) on the Mississippi--since grain shipments heading south from the Upper Mississippi River, Illinois River, Ohio River, and Arkansas River are captured. Note, however, that this data does not include all grain barge movements on the Mississippi Rover System, as some grain originates on the Mississippi below the locking portion (south of St. Louis, MO). Grain traffic originating below Lock 27 on the Mississippi is about 10 to 30 percent of total downbound grain shipments, which varies year to year. A similar dataset, "Upbound and Downbound Loaded and Empty Barge Movements (Count)," contains information on the count of grain barges moving down the locking system (https://agtransport.usda.gov/d/w6ip-grsn) versus this dataset that shows tonnages. Data is collected weekly from the U.S. Army Corps of Engineers' Lock Performance Monitoring System.

  • API

    2010-2011 Class Size - School-level detail

    data.cityofnewyork.us | Last Updated 2022-05-09T22:22:13.000Z

    Average class sizes for each school, by grade and program type (General Education, Self-Contained Special Education, Collaborative Team Teaching (CTT)) for grades K-9 (where grade 9 is not reported by subject area), and for grades 5-9 (where available) and 9-12, aggregated by program type (General Education, CTT, and Self-Contained Special Education) and core course (e.g. English 9, Integrated Algebra, US History, etc.). Class size data is based on January 28, 2011 data. *Grade 9 Official Class data is included for 0K-09 schools. Core Course information for these sections is not reported.

  • API

    2010-2011 Class Size - School-level Detail

    bronx.lehman.cuny.edu | Last Updated 2012-09-27T18:45:20.000Z

    Average class sizes for each school, by grade and program type (General Education, Self-Contained Special Education, Collaborative Team Teaching (CTT)) for grades K-9 (where grade 9 is not reported by subject area), and for grades 5-9 (where available) and 9-12, aggregated by program type (General Education, CTT, and Self-Contained Special Education) and core course (e.g. English 9, Integrated Algebra, US History, etc.). Class size data is based on January 28, 2011 data. *Grade 9 Official Class data is included for 0K-09 schools. Core Course information for these sections is not reported.

  • API

    2009-2010 Class Size - School-level Detail

    bronx.lehman.cuny.edu | Last Updated 2012-09-28T12:52:47.000Z

    This file shows average class sizes, pupil-teacher ratio, and size of largest and smallest classes for each school, broken out by grade and program type (General Education, Self-Contained Special Education, Collaborative Team Teaching (CTT)) for grades K-9 (where grade 9 is not reported by subject area), and for grades 5-9 (where available) and 9-12, aggregated by program type (General Education, CTT, and Self-Contained Special Education) and core course (e.g. English 9, Math A, US History, etc.) Based on January 27, 2010 data. * Grade 9 Official Class data is included for 0K-09 schools. Core Course information for these sections is not reported.

  • API

    DWR Dam Safety Jurisdictional Dam

    data.colorado.gov | Last Updated 2024-05-14T06:04:10.000Z

    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

    Energy and Water Data Disclosure for Local Law 84 2022 (Data for Calendar Year 2021)

    data.cityofnewyork.us | Last Updated 2022-11-03T19:56:51.000Z

    This data is collected annually via EPA Portfolio Manager. The data collection requires building owners to measure their energy and water consumption and compare it against that of similar buildings in the city and country. The data is useful for policy analysts as it provides transparency into energy and water consumption for the city's largest buildings. Please visit https://www1.nyc.gov/site/buildings/codes/benchmarking.page for additional information.

  • API

    Community Registry

    datahub.austintexas.gov | Last Updated 2024-03-19T13:52:18.000Z

    This dataset is a monthly upload of the Community Registry (www.AustinTexas.gov/CR), where community organizations such as neighborhood associations may register with the City of Austin to receive notices of land development permit applications within 500 feet of the organization's specified boundaries. This dataset can be used to contact multiple registered organizations at once by filtering/sorting, for example, by Association Type or by Association ZipCode. The organizations' boundaries can be viewed in the City's interactive map at www.AustinTexas.gov/GIS/PropertyProfile/ - the Community Registry layer is under the Boundaries/Grids folder.

  • API

    2010-2011 Class Size - District-level Summary

    data.cityofnewyork.us | Last Updated 2022-05-09T22:22:12.000Z

    This file shows average class size for each district, broken out by program type (General Education, Self-Contained Special Education, Collaborative Team Teaching (CTT)) for grades K-9 (where grade 9 is not reported by subject area), and for grades 5-9 (where available) and 9-12, aggregated by program type (General Education, CTT, and Self-Contained Special Education) and core course (e.g. English 9, Integrated Algebra, US History, etc.). Based on January 28, 2011 data. * Grade 9 Official Class data is included for 0K-09 schools. Core Course information for these sections is not reported.

  • API

    ENERGY STAR Certified Commercial Dishwashers

    data.energystar.gov | Last Updated 2024-05-14T13:32:08.000Z

    Certified models meet all ENERGY STAR requirements as listed in the Version 3.0 ENERGY STAR Program Requirements for Commercial Dishwashers that are effective as of July 27, 2021. A detailed listing of key efficiency criteria are available at https://www.energystar.gov/products/commercial_food_service_equipment/commercial_dishwashers/key_product_criteria.

  • API

    Water Levels and Flows

    data.edmonton.ca | Last Updated 2024-05-14T19:28:59.000Z

    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. “