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The land area of Brunswick, MD was 3 in 2009. The land area of Chesapeake Beach, MD was 3 in 2009.

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 Chesapeake Beach, MD or Brunswick, MD

  • API

    MD COVID-19 - Total Currently Hospitalized - Acute and ICU

    opendata.maryland.gov | Last Updated 2023-05-17T13:25:49.000Z

    <b>NOTE:</b> This dataset is no longer being updated as of 4/27/2023. It is retired and no longer included in public COVID-19 data dissemination. See this link for more information https://imap.maryland.gov/pages/covid-data <b>Summary</b> The daily occupancy number of COVID-19 designated hospital beds in Maryland. <b>Description</b> The MD COVID-19 - Total Currently Hospitalized - Acute and ICU data layer is a collection of the statewide cumulative total of individuals who tested positive for COVID-19 that have been reported each day via CRISP as currently occupying a COVID-19 bed in a Maryland hospital facility. MD COVID-19 - Total Currently Hospitalized comprises two subsets: Adult Acute Care Beds and Adult ICU Beds. <b>Terms of Use</b> The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

  • API

    Chesapeake Bay Pollution Loads - Phosphorus

    opendata.maryland.gov | Last Updated 2018-06-25T12:27:15.000Z

    Phosphorus pollution from contributing sources in Bay watershed, pounds per year. 1985, 2007, and 2009 - 2012 progress; 2017 and 2025 targets. Data source: EPA Phase 5.3.2 Watershed Model.

  • API

    Chesapeake Bay Pollution Loads - Nitrogen

    opendata.maryland.gov | Last Updated 2018-09-27T13:20:11.000Z

    Nitrogen pollution from contributing sources in Bay watershed, pounds per year. 1985, 2007, and 2009 - 2012 progress; 2017 and 2025 targets. Data source: EPA Phase 5.3.2 Watershed Model.

  • API

    MD COVID-19 - Cases by Race and Ethnicity Distribution

    opendata.maryland.gov | Last Updated 2024-10-01T15:09:26.000Z

    <b>Note:</b> Starting April 27, 2023 updates change from daily to weekly. <b>Summary</b> The cumulative number of positive COVID-19 cases among Maryland residents by race and ethnicity: African American; White; Hispanic; Asian; Other; Unknown. <b>Description</b> The MD COVID-19 - Cases by Race and Ethnicity Distribution data layer is a collection of positive COVID-19 test results that have been reported each day via CRISP. <b>Terms of Use</b> The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

  • API

    Power Outages - Zipcode

    opendata.maryland.gov | Last Updated 2024-10-06T15:15:20.000Z

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

  • API

    Chesapeake Bay Pollution Loads - Sediment

    opendata.maryland.gov | Last Updated 2018-06-25T12:26:56.000Z

    Sediment pollution from contributing sources in Bay watershed, tons per year. 1985, 2007, and 2009 - 2012 progress; 2017 and 2025 target loads. Target loads for sediment were not broken out to a scale finer than major basin. Data source: EPA Phase 5.3.2 Watershed Model.

  • API

    Power Outages - County

    opendata.maryland.gov | Last Updated 2024-10-06T15:15:20.000Z

    Contains aggregated power outage data by County. 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

    MDOT Performance Dashboard - Annual Data

    opendata.maryland.gov | Last Updated 2016-11-23T16:13:04.000Z

    Set of annual MDOT perfromance data including port, transit, bridge and highway condition, and MVA branch office wait time data.

  • API

    MTA Transit Oriented Development (TOD) Data

    opendata.maryland.gov | Last Updated 2024-03-25T15:38:10.000Z

    *** DISCLAIMER - This web page is a public resource of general information. The Maryland Mass Transit Administration (MTA) makes no warranty, representation, or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the spatial data or database information provided herein. MTA and partner state, local, and other agencies shall assume no liability for errors, omissions, or inaccuracies in the information provided regardless of how caused; or any decision made or action taken or not taken by any person relying on any information or data furnished within. *** This dataset assesses rail station potential for different forms of transit oriented development (TOD). A key driver of increased transit ridership in Maryland, TOD capitalizes on existing rapid transit infrastructure. The online tool focuses on the MTA’s existing MARC Commuter Rail, Metro Subway, and Central Light Rail lines and includes information specific to each station. The goal of this dataset is to give MTA planning staff, developers, local governments, and transit riders a picture of how each MTA rail station could attract TOD investment. In order to make this assessment, MTA staff gathered data on characteristics that are likely to influence TOD potential. The station-specific data is organized into 6 different categories referring to transit activity; station facilities; parking provision and utilization; bicycle and pedestrian access; and local zoning and land availability around each station. As a publicly shared resource, this dataset can be used by local communities to identify and prioritize area improvements in coordination with the MTA that can help attract investment around rail stations. You can view an interactive version of this dataset at geodata.md.gov/tod. ** Ridership is calculated the following ways: Metro Rail ridership is based on Metro gate exit counts. Light Rail ridership is estimated using a statistical sampling process in line with FTA established guidelines, and approved by the FTA. MARC ridership is calculated using two (2) independent methods: Monthly Line level ridership is estimated using a statistical sampling process in line with FTA established guidelines, and approved by the FTA. This method of ridership calculation is used by the MTA for official reporting purposes to State level and Federal level reporting. Station level ridership is estimated by using person counts completed by the third party vendor. This method of calculation has not been verified by the FTA for statistical reporting and is used for scheduling purposes only. However, because of the granularity of detail, this information is useful for TOD applications. *Please note that the monthly level ridership and the station level ridership are calculated using two (2) independent methods that are not interchangeable and should not be compared for analysis purposes.