The water area of Highland Park, TX 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 Highland Park, TX

  • API

    Beach E. coli Predictions

    data.cityofchicago.org | Last Updated 2024-06-23T20:00:05.000Z

    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

    Parking Lot Entranaces and Exits

    datahub.austintexas.gov | Last Updated 2024-02-16T22:42:26.000Z

    Entrances and exits to surface and garage parking lots in the downtown area of Austin, TX. The data is also available as an Esri File Geodatabase, here: http://www.arcgis.com/home/item.html?id=c84e634d0d074d70b3cdb2da4e065dda 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 property boundaries. This product has been produced by Austin Transportation Department for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.

  • API

    Water Quality Sampling Data

    datahub.austintexas.gov | Last Updated 2024-06-23T08:28:12.000Z

    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

    Beach Lab Data

    data.cityofchicago.org | Last Updated 2024-06-23T17:00:15.000Z

    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)

  • API

    City of Dallas Library Locations

    www.dallasopendata.com | Last Updated 2021-08-13T16:11:24.000Z

    The Dallas Public Library system serves as the municipal library system of the city of Dallas, Texas. The library operates 28 branch locations throughout the city, and an 8-story main branch, the J. Erik Jonsson Central Library, in the Government District of downtown. It also operates the Bookmarks Children's Library located in NorthPark Center.

  • API

    Beach Water and Weather Sensor Locations

    data.cityofchicago.org | Last Updated 2015-06-04T21:55:52.000Z

    The locations of the Chicago Park District water and weather sensors that feed https://data.cityofchicago.org/d/qmqz-2xku and https://data.cityofchicago.org/d/k7hf-8y75.

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    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

    Parks and Open Space

    data.winnipeg.ca | Last Updated 2024-06-17T09:44:43.000Z

    Data representing all parks and open space in Winnipeg, including the spatial boundaries, names, area, and addresses. To view the polygon maps of the data, please see the map form at https://data.winnipeg.ca/Parks/Park-And-Open-Space/tug6-p73s

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    Imagine Austin Corridors

    datahub.austintexas.gov | Last Updated 2023-04-10T13:40:30.000Z

    The Growth Concept Map assembles compact and walkable activity centers and corridors, as well as job centers, and coordinates them with future transportation improvements. These centers and corridors allow people to reside, work, shop, access services, people watch, recreate, and hang out without traveling far distances. Within them, the design and scale of buildings and the design and availability of parks and gathering spaces will welcome people of all ages and abilities. They will be walkable, bikable, and connected to one another, the rest of the city, and the region by roads, transit, bicycle routes and lanes, and trails. The activity centers and corridors included on this map identify locations for additional people and jobs above what currently exists on the ground. Unlike more detailed small-area plan maps, the Growth Concept Map provides broad direction for future growth and is not parcel specific. Centers that are already established by existing small-area plans, such as those for East Riverside Drive or Highland Mall, are drawn to reflect those plans. Centers without small-area plans are simply shown with a circle, indicating scale and general location. Specifying boundaries for these centers may occur through small-area plans or general guidelines for implementing this plan.

  • API

    Public Fishing Rights Parking Areas

    data.ny.gov | Last Updated 2022-10-07T21:55:53.000Z

    The New York State Department of Environmental Conservation (DEC) maintains a network of Public Fishing Right parking areas along trout streams in New York. This dataset represents the locations and information about those parking areas. Links to PDF maps of the actual Public Fishing Rights along the streams are available as part of the data set.