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The water area of Pocatello, ID was 0 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 Pocatello, ID

  • API

    Metro Water Services - Service Outages

    data.nashville.gov | Last Updated 2024-05-14T15:40:08.000Z

    A listing of the location and status of current known water service outages within the Metro Water Services coverage area.

  • API

    Water Quality

    data.kingcounty.gov | Last Updated 2024-05-14T00:10:12.000Z

    This dataset contains water quality samples collected from Puget Sound, lakes, and streams in the region which can be filtered by "Site Type" and "Area". To see where water quality samples are collected, see the <a href="https://data.kingcounty.gov/dataset/WLRD-Sites/wbhs-bbzf">WLRD Water Quality Collection Sites</a> dataset.

  • 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 2024-05-14T13:28:30.000Z

    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

    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

    Existing Buildings Energy & Water Efficiency (EBEWE) Program

    data.lacity.org | Last Updated 2024-05-12T08:01:12.000Z

    The City's Existing Buildings Energy & Water Efficiency (EBEWE) Program was established in 2016 (LA Municipal Code Section 91.9701, Ordinance No. 184674) and is administered by the Department of Building and Safety(LADBS). It requires that owners of buildings subject to the Ordinance, to annually register their building (includes pay fees) and file a benchmark report of energy and water usage for their buildings for the Compliance Year. The EBEWE dataset includes the Compliance Year, Building Address, Compliance Status, various energy and water use benchmark data, and the last 3 digits of the Assessor Identification Number (AIN). For a complete explanation of the Program, including reporting requirements, please visit LADBS' EBEWE site at http://www.ladbs.org/services/green-building-sustainability/existing-buildings-energy-water-efficiency-program.

  • API

    Energy and Water Data Disclosure for Local Law 84 2021 (Data for Calendar Year 2020)

    data.cityofnewyork.us | Last Updated 2024-01-24T17:29:59.000Z

    Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

  • API

    Energy and Water Data Disclosure for Local Law 84 2020 (Data for Calendar Year 2019)

    data.cityofnewyork.us | Last Updated 2024-01-24T17:29:38.000Z

    Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

  • API

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

    stat.stpete.org | Last Updated 2023-11-19T08:06:25.000Z

    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

    Beach Lab Data

    data.cityofchicago.org | Last Updated 2024-03-06T20:00:21.000Z

    The Chicago Park District collects and analyzes water samples from beaches along Chicago’s Lake Michigan lakefront. The Chicago Park District partners with the University of Illinois at Chicago Department of Public Health Laboratory to analyze water samples using a new DNA testing method called Rapid Testing Method (qPCR analysis) which tests for Enterococci in order to monitor swimming safety. The rapid testing method (qPCR analysis) is a new method that measures levels of pathogenic DNA in beach water. Unlike the culture based test that requires up to 24 hours of processing, the new rapid testing method requires a 4-5 hours for results. The Chicago Park District can use results of the rapid test to notify the public when levels exceed UPEPA recommended levels, which is 1000* CCE. When DNA bacteria levels exceed 1000 CCE, a yellow swim advisory flag is implemented. For more information please refer to the USEPA Recreational Water Quality Criteria (http://water.epa.gov/scitech/swguidance/standards/criteria/health/recreation). Historically, the Chicago Park District used the culture based analysis method and statistical prediction models to monitor beach water quality. The culture based method tests for Escherichia coli (E. coli) bacteria which is an indicator species for the presence of disease-causing bacteria, viruses, and protozoans that may pose health risks to the public. This method requires 18-24 hours of processing to receive results. The Chicago Park District would use results of the culture based method to notify the public when levels exceed UPEPA recommended levels, which is 235* CFU. When bacteria levels exceed 235 CFU, a yellow swim advisory flag was implemented. This standard is still used at most beaches throughout the Great Lakes region. For more information please refer to the USEPA Recreational Water Quality Criteria. The statistical prediction model forecasted real-time Escherichia coli (E. coli) bacteria levels present in the water. The Chicago Park District (CPD) in partnership with the US Geological Survey, developed statistical prediction models by using weather data pulled from CPD buoys (https://data.cityofchicago.org/d/qmqz-2xku) and weather stations (https://data.cityofchicago.org/d/k7hf-8y75). The Chicago Park District would use results of the predictive model to notify the public when bacteria levels would exceed 235 CFU. When bacteria levels exceed 235 CFU, a yellow swim advisory flag was implemented. * The unit of measurement for Escherichia coli is Colony Forming Units (CFU) per 100 milliliters of water. (Culture Based Method / Statistical Prediction Model) *The unit of measuring DNA is Enterococci Calibrator Cell Equivalents (CCE) per 100 milliliters of water. (Rapid Testing Analysis)