Empowered by Tyler Technologies
Refine Results

The land area of Illinois was 55,519 in 2018. The land area of Texas was 261,232 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 Illinois or Texas

  • API

    Key Economic Indicators

    data.texas.gov | Last Updated 2024-05-21T13:17:28.000Z

    An economic indicator is a statistic about an economic activity, and they allow analysis of economic performance and predictions of current and future economic performance. The TX Comptroller’s Key Economic Indicators includes such measures for TX & the US employment and unemployment, consumer confidence, price inflation, housing data, etc. See https://comptroller.texas.gov/about/policies/privacy.php for more information on our agency’s privacy and security policies.

  • 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

    Water Quality Sampling Data

    datahub.austintexas.gov | Last Updated 2024-05-29T08:28:46.000Z

    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

    Water Quality Sampling Locations (deprecated)

    datahub.austintexas.gov | Last Updated 2023-08-28T18:20:21.000Z

    DEPRECATED: Using LOCATION.WRM_SAMPLE_SITES. https://data.austintexas.gov/Locations-and-Maps/LOCATION-WRM_sample_sites/mwu5-jd6h Locations for water quality sampling performed in the Austin, TX area by the Watershed Protection Environmental Resource Management division.

  • API

    County to CBSA Mapping for Large Metros

    data.bayareametro.gov | Last Updated 2022-08-26T07:12:04.000Z

    Data contains counties in the following list of CBSAS (per OMB Mar 2020 definition): Bay Area CBSAs: San Francisco-Oakland-Berkeley, CA San Jose-Sunnyvale-Santa Clara, CA Napa, CA Santa Rosa-Petaluma, CA Other CBSAs: Los Angeles-Long Beach-Anaheim, CA Washington-Arlington-Alexandria, DC-VA-MD-WV Denver-Aurora-Lakewood, CO Detroit-Warren-Dearborn, MI Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Boston-Cambridge-Newton, MA-NH New York-Newark-Jersey City, NY-NJ-PA Phoenix-Mesa-Chandler, AZ Houston-The Woodlands-Sugar Land, TX Seattle-Tacoma-Bellevue, WA Atlanta-Sandy Springs-Alpharetta, GA Chicago-Naperville-Elgin, IL-IN-WI Austin-Round Rock-Georgetown, TX Dallas-Fort Worth-Arlington, TX Miami-Fort Lauderdale-Pompano Beach, FL

  • API

    Total Gallons of Water Pumped per Capita per Day (GPCD)

    datahub.austintexas.gov | Last Updated 2023-04-10T13:40:24.000Z

    This dataset calculates the annual average gallons of water pumped per capita per day (GPCD) as a measure of Austin’s water conservation efforts over time. GPCD is calculated as the total water pumped annually from Austin Water's potable water treatment plants, divided by Austin Water's estimated potable service area population and the number of days in the year. Data sources: Austin Water potable treatment plant meters, U.S. Census Bureau, City of Austin Customer Care & Billing System (CC&B), and the City of Austin Demographer. View more details and insights related to this dataset on the story page: https://data.austintexas.gov/stories/s/y6fs-auex

  • API

    Austin's Small Scale Green Infrastructure

    datahub.austintexas.gov | Last Updated 2023-04-10T13:41:07.000Z

    A rain garden is a low area that absorbs and filters rain water runoff that comes from roofs, sidewalks, and driveways. Rain runs off the hard surfaces, collects in the shallow depression, and slowly soaks into the soil. They are usually planted with colorful native plants and grasses. Every little bit helps to conserve water. Currently we are tracking rain garden bioswale, cistern, and green roofs.

  • API

    Traffic Cameras

    datahub.austintexas.gov | Last Updated 2024-05-29T06:55:48.000Z

    This dataset contains information about traffic cameras in Austin, TX. These cameras are used to monitor real-time LIVE traffic conditions only. Video is NOT recorded or retained of daily traffic. Traffic cameras are owned and operated by the City of Austin Transportation & Public Works Department. You may also be interested in our traffic signal operations dashboards, available at https://data.mobility.austin.gov For information about Austin's Mobility Management Center, visit: http://www.austintexas.gov/department/arterial-management This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of traffic signals.

  • API

    AWU_ServiceArea_ImpactFee_Boundary

    datahub.austintexas.gov | Last Updated 2023-04-10T13:39:08.000Z

    This polygon delineates the boundary wherein the Austin Water Utility (the City of Austin) intends to serve water, wastewater, and reclaimed water, and wherein it will charge a fee (impact fee) for connecting to their systems.

  • API

    Beach Lab Data

    data.cityofchicago.org | Last Updated 2024-05-28T17:00:15.000Z

    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)