- What is the Water Area?
- What is the Population Count?
- What is the Population Density?
- What is the Percent who did not finish the 9th grade?
- What is the Total Administration Salaries?
- What is the Student Teacher Ratio?
- What is the Median Earnings?
- What is the Number of Employees?
- What is the Percent Without Health Insurance?
- What is the Access to Exercise Opportunities Rate?
The land area of Idaho was 82,643 in 2013.
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.
Geographic and Area Datasets Involving Idaho
- API data.cityofnewyork.us | Last Updated 2018-09-10T19:27:00.000Z
Data and metrics on water and energy consumption in buildings over 50,000 ft2.
- API data.healthcare.gov | Last Updated 2014-08-20T21:49:51.000Z
QHP Landscape ID SHOP Market Dental - Idaho For instructions on how to read and use this data, please view the documentation available under the ‘About’ tab on this page.
- API data.edmonton.ca | Last Updated 2019-12-11T19:37:22.000Z
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 data.healthcare.gov | Last Updated 2014-08-20T21:48:43.000Z
QHP Landscape ID SHOP Market Medical - Idaho For instructions on how to read and use this data, please view the documentation available under the ‘About’ tab on this page.
- API data.honolulu.gov | Last Updated 2019-12-12T00:45:04.000Z
- API data.nashville.gov | Last Updated 2019-12-12T00:36:38.000Z
A listing of the location and status of current known water service outages within the Metro Water Services coverage area.
- API data.mo.gov | Last Updated 2019-11-15T22:18:22.000Z
Listing of Chronic Violators for DNR
- API data.cityofchicago.org | Last Updated 2019-12-11T23:00:26.000Z
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)
- API data.healthcare.gov | Last Updated 2014-08-20T21:48:34.000Z
QHP Landscape ID Individual Market Dental - Idaho For instructions on how to read and use this data, please view the documentation available under the ‘About’ tab on this page.
- API opendata.usac.org | Last Updated 2019-11-25T11:05:49.000Z
This dataset provides information about total dollars disbursed to Eligible Telecommunication Carriers (ETCs) within the High Cost Program by month and year since January 2003.