The land area of College Station, TX was 49 in 2017.

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 College Station, TX

  • API

    Water Levels and Flows

    data.edmonton.ca | Last Updated 2019-11-20T01:36:47.000Z

    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

    2016 Citizen Survey - Master Dataset

    data.cstx.gov | Last Updated 2016-12-29T16:41:18.000Z

    Conducted by National Service Research. Participants rated various city services, quality of life issues, community characteristics, and project priorities.

  • API

    Water Levels and Flows-Monitoring Station List

    data.edmonton.ca | Last Updated 2019-11-20T01:36:55.000Z

    A list of Water Level and Flow Monitoring Stations (that readings are available for) and the respective latitude and longitude of these stations. 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

    WRIA Stations

    data.wa.gov | Last Updated 2015-02-23T18:37:14.000Z

    Water Resource Inventory Area Stations in washington state. This data set is used in conjunction with the "Water Quality Index Scores" data set to produce the water quality tables in the bi-annual state of salmon report (stateofsalmon.wa.gov)

  • API

    Traffic Travel Times

    data.cstx.gov | Last Updated 2019-11-20T05:31:12.000Z

    This data is updated every 5 minutes showing current travel times at major intersections around College Station, TX.

  • API

    Fire Incidents July 1, 2010 - Present

    data.greensboro-nc.gov | Last Updated 2019-11-20T00:25:00.000Z

    Greensboro Fire Incidents

  • API

    Beach Lab Data

    data.cityofchicago.org | Last Updated 2019-11-20T01:00:17.000Z

    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

    Public Water Supply Usage (2008 - Current Year)

    data.naperville.il.us | Last Updated 2019-11-14T21:09:48.000Z

    Naperville receives its water supply from Lake Michigan through the DuPage Water Commission. This dataset shows the average daily amount of water purchased by the City of Naperville in millions of gallons by month.

  • API

    Nova Scotia Lake Chemistry Data

    data.novascotia.ca | Last Updated 2019-06-05T15:10:55.000Z

    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

    CDPH Environmental Inspections

    data.cityofchicago.org | Last Updated 2019-11-13T13:14:27.000Z

    Inspections conducted by the Department of Environment (DOE) from April, 1997 to December 31, 2011 and by the Department of Public Health (CDPH) since January 1, 2012. On January 1, 2012, the Department of Environment was disbanded and all its inspection, permitting, and enforcement authorities were transferred to the CDPH. Data fields requiring description are detailed below. INSPECTION ID: This is the unique identifier of the inspection. DOE inspection records are prefixed with “DOEINS.” CDPH inspections are numeric. INSPECTION NAME: This is the name of the site that was inspected. This is usually the company/owner name, address, or building name. MAPPED LOCATION: Contains the latitude/longitude coordinates of the facility. The latitude/longitude coordinate is determined through the Chicago Open Data Portal’s geocoding process. INSPECTOR: Contains the name of the inspector or engineer who conducted the inspection. INSPECTION CATEGORY: Describes the type of inspection performed. Generally, inspection types can be organized into the following categories: “COMPLAINT RESPONSE” Inspections conducted in response to citizen complaints. See CDPH Environmental Complaints dataset for type of environmental complaints. “SOLID WASTE INSPECTIONS” Inspections of permitted waste facilities and inspections conducted as part of a delegation agreement with the Illinois Environmental Protection Agency. These inspections include inspections of solid and liquid waste handling facilities, recycling facilities, junkyards, compost facilities, temporary and permanent rock crushing facilities and illegal dump sites. “AIR QUALITY INSPECTION”: Inspections of all permitted industrial facilities with potential to emit pollutants into the air, including area sources such as dry cleaners, motor vehicle repair facilities and architectural surface cleaning. “HAZMATS” Inspections conducted in response to a hazardous material incident and typically conducted with the Fire Department’s HAZMAT units. Also includes inspection audits of facilities subject to Tier II reporting under the Emergency Planning and Community Right-to-Know Act (EPCRA) . “NOISE” Inspections conducted in response to noise-related complaints. “TANK INSPECTIONS” Underground Storage Tank (UST) inspections conducted in conjunction with a UST permit and as part of a delegation agreement with the Illinois Office of the State of Fire Marshall (OSFM).These inspections include including UST Removal, UST Abandon, UST Install, UST Upgrade, UST Reline, UST Repair, Stage II and UST Green Decal. This Inspection Type also includes non-OSFM inspections for Aboveground Storage Tank (AST) permits, Abandoned Gas Stations, Leaking Underground Storage Tanks (LUST), UST Emergency Response, historic Filling Station Licenses, and miscellaneous tank inspections. “DEMOLITION/ASBESTOS” Inspections associated with Demolition or NESHAP Notice of Intents (NOIs). See Chapter 11-4 Article XVIII (see http://tinyurl.com/crvyb29). “MISC INSPECTIONS” Other inspections including but not limited Water Pollution, Site Assessment, historic Bus Facility and historic Invasive Species inspections per Chapter 11-4 Article XXII (see http://tinyurl.com/crvyb29) of the Municipal Code. INSPECTION SUB CATEGORY: More specific inspection type under an Inspection Category. INSPECTION DATE: Date when inspection occurred. NARRATIVE: Contains the inspector’s narrative log of the inspection. DATA SOURCE: The city department that collected the data.