The land area of Lake Charles, LA was 42 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.

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Geographic and Area Datasets Involving Lake Charles, LA

  • API

    Water Quality Sampling Data

    datahub.austintexas.gov | Last Updated 2024-05-14T08:29:16.000Z

    Data collected to assess water quality conditions in the natural creeks, aquifers and lakes in the Austin area. This is raw data, provided directly from our Water Resources Monitoring database (WRM) and should be considered provisional. Data may or may not have been reviewed by project staff. A map of site locations can be found by searching for LOCATION.WRM_SAMPLE_SITES; you may then use those WRM_SITE_IDs to filter in this dataset using the field SAMPLE_SITE_NO.

  • 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

    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

    Nova Scotia Lake Survey Lakes Locations

    data.novascotia.ca | Last Updated 2021-06-17T12:11:21.000Z

    A shapefile of freshwater water bodies hat have been sampled as part of the Nova Scotia Lake Survey. The Nova Scotia Lake Survey program is a partnership initiative between Nova Scotia Environment (NSE) and Nova Scotia Fisheries and Aquaculture (NSDFA) to inventory lakes throughout the province determining baseline water quality, in support of both sport fisheries and water resource management areas. The following weblink connects to a Nova Scotia Environment web map that includes the locations of the monitored lakes within the province and an alternative method for downloading the same lake chemistry dataset: http://nse.maps.arcgis.com/apps/webappviewer/index.html?id=7ded7a30bef44f848e8a4fc8672c89bd

  • API

    Beach E. coli Predictions

    data.cityofchicago.org | Last Updated 2023-09-05T04:55:04.000Z

    The Chicago Park District issues swim advisories at beaches along Chicago's Lake Michigan lakefront based on E. coli levels. This dataset shows predicted E. coli levels based on an experimental analytical modeling approach.

  • API

    Nova Scotia Lake Chemistry Data

    data.novascotia.ca | Last Updated 2021-06-17T12:32:38.000Z

    The Nova Scotia Lake Survey program is a partnership initiative between the Department of Environment and Climate Change and the Department of Fisheries and Aquaculture to inventory lakes throughout the province determining baseline water quality, in support of both sport fisheries and water resource management areas. The following weblink connects to a Department of Environment and Climate Change web map that includes the locations of the monitored lakes within the province and an alternative method for downloading the same lake chemistry dataset: http://nse.maps.arcgis.com/apps/webappviewer/index.html?id=7ded7a30bef44f848e8a4fc8672c89bd"

  • API

    PPW Streams and Lake Water Quality

    internal.open.piercecountywa.gov | Last Updated 2024-05-13T15:04:45.000Z

    Percent of monitored Pierce County streams and lakes with water quality rated "better than Average."

  • 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)

  • API

    Hydrography

    data.brla.gov | Last Updated 2022-10-03T16:45:23.000Z

    Polygon geometry with attributes displaying hydrography in East Baton Rouge Parish, Louisiana.

  • API

    Green Infrastructure Water Capture Capacity

    data.lacity.org | Last Updated 2020-11-30T17:22:16.000Z

    Green infrastructure is designed to capture and infiltrate or filter stormwater runoff through natural systems. This dataset is used in combination with precipitation numbers to update the stormwater dashboard (in progress) and Sustainable City pLAn. It is refreshed as new projects are created.