The water area of Takoma Park, MD was 0 in 2011.

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 Takoma Park, MD

  • API

    Montgomery College Enrollment Data

    data.montgomerycountymd.gov | Last Updated 2023-04-03T23:55:11.000Z

    Montgomery College Student Enrollment Data Update Frequency: Annually

  • API

    Real Property Tax - 2016

    data.montgomerycountymd.gov | Last Updated 2023-06-27T19:27:56.000Z

    This data represents all of the County’s residential real estate properties and all of the associated tax charges and credits with that property processed at the annual billing in July of each year, excluding any subsequent billing additions and/or revisions throughout the year. This dataset excludes the names of the property owners. The addresses in this database represent the address of the property. For more information about the individual taxes and credits, please go to http://www.montgomerycountymd.gov/finance/taxes/faqs.html#credit. Update Frequency: Updated Annually in July

  • API

    Beach E. coli Predictions

    data.cityofchicago.org | Last Updated 2024-09-03T04:55:05.000Z

    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

    Crash Reporting - Incidents Data

    data.montgomerycountymd.gov | Last Updated 2024-09-20T05:41:55.000Z

    This dataset provides general information about each collision and details of all traffic collisions occurring on county and local roadways within Montgomery County, as collected via the Automated Crash Reporting System (ACRS) of the Maryland State Police, and reported by the Montgomery County Police, Gaithersburg Police, Rockville Police, or the Maryland-National Capital Park Police. Please note that these collision reports are based on preliminary information supplied to the Police Department by the reporting parties. Therefore, the collision data available on this web page may reflect: -Information not yet verified by further investigation -Information that may include verified and unverified collision data -Preliminary collision classifications may be changed at a later date based upon further investigation -Information may include mechanical or human error This dataset can be joined with the other 2 Crash Reporting datasets (see URLs below) by the State Report Number. * Crash Reporting - Drivers Data at https://data.montgomerycountymd.gov/Public-Safety/Crash-Reporting-Drivers-Data/mmzv-x632 * Crash Reporting - Non-Motorists Data at https://data.montgomerycountymd.gov/Public-Safety/Crash-Reporting-Non-Motorists-Data/n7fk-dce5 Update Frequency : Weekly

  • API

    Surface Water Quality Assessments

    opendata.maryland.gov | Last Updated 2018-08-13T20:15:11.000Z

    This is the 2014 Integrated Report. EPA approved this submission in accordance with Sections 303(d), 305(b), and 314(l) of the Clean Water Act, on October 16, 2015. The Integrated Report (IR) combines two water quality reports required under sections 305(b) and 303(d) of the federal Clean Water Act. Section 305(b) requires states, territories and authorized tribes to perform annual water quality assessments to determine the status of jurisdictional waters. Section 303(d) requires states, territories and authorized tribes to identify waters assessed as not meeting water quality standards(see Code of Maryland Regulations 26.08.02). Waters that do not meet standards may require a Total Maximum Daily Load to determine the maximum amount of an impairing substance or pollutant that a particular water body can assimilate and still meet water quality criteria. Historically, the 303(d) List and the 305(b) report were submitted to the Environmental Protection Agency (EPA) as separate documents but more recent guidance has called for combining these two reports into a single biennial publication. More information is available at http://www.mde.state.md.us/PROGRAMS/WATER/TMDL/INTEGRATED303DREPORTS/Pages/Programs/WaterPrograms/TMDL/Maryland%20303%20dlist/index.aspx A searchable version of this data is available at http://www.mde.state.md.us/programs/Water/TMDL/Integrated303dReports/Pages/303d.aspx

  • API

    Power Outages - County

    opendata.maryland.gov | Last Updated 2024-09-21T19:30:35.000Z

    Contains aggregated power outage data by County. Limited historical record inventory. Designed for and consumed by the MEMA Power Outage web application.

  • 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

    Power Outages - Zipcode

    opendata.maryland.gov | Last Updated 2024-09-21T19:30:35.000Z

    Contains aggregated power outage data by ZIP Code. Limited historical record inventory. Designed for and consumed by the MEMA Power Outage web application.

  • API

    Homeland Security Grant Awards 2003 - 2014

    opendata.maryland.gov | Last Updated 2020-01-24T19:19:02.000Z

    This data set shows four sources of grant funding for the Governor's Office of Homeland Security (GOHS) and respective awards from 2003 to 2014.

  • API

    Real Property Tax - 2021

    data.montgomerycountymd.gov | Last Updated 2021-07-13T13:58:48.000Z

    This data represents all of the County’s residential real estate properties and all of the associated tax charges and credits with that property processed at the annual billing in July of each year, excluding any subsequent billing additions and/or revisions throughout the year. This dataset excludes the names of the property owners. The addresses in this database represent the address of the property. For more information about the individual taxes and credits, please go to http://www.montgomerycountymd.gov/finance/taxes/faqs.html#credit. Update Frequency: Updated Annually in July