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The water area of St. Charles, IL was 0 in 2013.

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 St. Charles, IL

  • API

    CPS Schools 2013-2014 Academic Year

    data.cityofchicago.org | Last Updated 2013-11-26T20:27:57.000Z

    List of CPS schools for the 2013-2014 academic year. This dataset includes various identifiers used to identify school districts, including names; local, state, and federal IDs; and geographic descriptions on the location of each school.

  • API

    Monthly population indicators from July 2005 through 2020 by ZIP and parish for the New Orleans metro and select other parishes

    data.datacenterresearch.org | Last Updated 2020-07-23T16:34:56.000Z

    Residential addresses actively receiving mail by ZIP code and parish for the New Orleans metro area and other selected parishes. Monthly data for July 2005 and August 2006-Present month for Orleans, Jefferson, Plaquemines, St. Bernard, St. Charles, St. John the Baptist, and St. Tammany. Monthly data for January 2016-Present month for Ascensions, East Baton Rouge, and Livingston. Monthly data for August 2017-Present month for St. James. Note: Trends in residential addresses actively receiving mail can serve as a useful indicator of the rate of change in occupied housing units. However, active residential addresses are not the same as occupied housing units. For the decennial census, the Census Bureau defines an occupied housing unit as the usual place of residence for an individual or group of individuals on Census Day (April 1). The U.S. Postal Service (USPS) defines a residential address as actively receiving mail if mail has been picked up within the previous 90 days. The USPS counts of active residential addresses may be higher than Census Bureau counts of occupied households in cities, and lower in rural areas. In cities, the USPS counts may be higher because they include each room in group quarters such as college dormitories, military quarters, and single room occupancies (residences for formerly homeless persons). The Census Bureau does not include group quarters in its count of occupied housing units. In rural areas, mail is frequently delivered to rural route boxes and P.O. boxes rather than street addresses, and thus may lead to an undercount compared to Census Bureau occupied housing units.

  • 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

    Maryland Median Household Income by year with margin of error: 2010-2022

    opendata.maryland.gov | Last Updated 2024-03-07T21:30:37.000Z

    The data consist of the median household income by year in Maryland and its jurisdictions with the margin of error for 2010-2022. MOE= Margin of Error for the 90% confidence interval. Source from the U.S. Census Bureau, Small Area Income and Poverty Estimates, November 2023.

  • API

    Special Protection Area Review Data

    data.montgomerycountymd.gov | Last Updated 2024-09-12T09:40:27.000Z

    A Special Protection Area (SPA) is a geographic area designated by the County Council which has high quality or unusually sensitive water resources and environmental features that would be threatened by proposed land development if special water quality protection measures were not applied. This dataset tracks reviews for development in all SPAs. Update Frequency : Daily.

  • API

    Poverty Rate With Margin Of Error, 2010-2022

    opendata.maryland.gov | Last Updated 2024-03-11T20:09:31.000Z

    The data consist of the poverty rate by year in Maryland and the margin of error of the poverty rate from 2010 to 2022. MOE=Margin of Error for the 90% confidence interval. Sourced from the U.S. Census Bureau, Small Area Income and Poverty Estimates.

  • API

    Beach Lab Data

    data.cityofchicago.org | Last Updated 2024-09-04T19:00:17.000Z

    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

    Aquatic Biological Monitoring Sampling Locations: Beginning 1980

    data.ny.gov | Last Updated 2024-05-02T15:02:49.000Z

    The Division of Water Stream Biomonitoring Unit (SBU) dataset contains the point sampling locations at which benthic macroinvertebrates, field chemistry, and at some locations, sediment, fish or diatoms have been collected as part of the Rotating Integrated Basin Studies (RIBS) program, Rapid Biological Assessments (RAS), or special studies. The data collected are used for water quality assessment (input to the Waterbody Inventory, completion of the 305(b) report and 303(d) list of impaired Waters) and for track-down of water quality problems. The data set is maintained by the Division of Water, Bureau of Water Assessment and Management, Stream Biomonitoring Unit.

  • API

    Citizen Statewide Lake Monitoring Assessment Program (CSLAP) Lakes

    data.ny.gov | Last Updated 2024-03-01T18:08:08.000Z

    The dataset represents the lakes participating in the Citizen Statewide Lake Monitoring Assessment Program (CSLAP). CSLAP is a volunteer lake monitoring and education program that is managed by DEC and New York State Federation of Lake Associations (NYSFOLA). The data collected through the program is used to identify water quality issues, detect seasonal and long term patterns, and inform volunteers and lake residents about water quality conditions in their lake. The program has delivered high quality data to many DEC programs for over 25 years.The dataset catalogs CSLAP lake information; including: lake name, lake depth, public accessibility, trophic status, watershed area, elevation, lake area, water quality classification, county, town, CSLAP status, years sampled, and last year sampled.

  • API

    Stormwater Management Concept Information

    data.montgomerycountymd.gov | Last Updated 2024-10-01T09:50:15.000Z

    A stormwater management concept is a statement or drawing, or both, describing the manner in which stormwater runoff from a proposed development will be controlled to minimize damage to neighboring properties and receiving streams and to also prevent the discharge of pollutants into surface waters. Update Frequency : Daily.