The water area of Mechanic Falls, ME was 0 in 2014. The water area of Newport, ME was 1 in 2014.

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 Mechanic Falls, ME or Newport, ME

  • API

    Parking - Edmonton Insight Community

    data.edmonton.ca | Last Updated 2019-07-17T17:16:58.000Z

    This was one single topic among many as part of the February 2016 Mixed Topic survey. To view the survey questions, click on the following link: https://www.edmontoninsightcommunity.ca/R.aspx?a=832&as=oC92qQ8rl2&t=1 Open from February 08 - 16, 2016. At the time the survey was launched survey invitations were sent to 4537 Insight Community Members. 1746 members completed the survey which represents a completion rate of 38%. A total of 1752 respondents completed the survey: 1746 Insight Community Members and 6 using the anonymous link which will have no demographic info.

  • API

    Parcel Address

    data.calgary.ca | Last Updated 2024-10-24T14:08:41.000Z

    This file contains address information for land parcels within The City of Calgary.

  • API

    Building Permit Applications - Main Street Districts

    data.cityoforlando.net | Last Updated 2024-03-01T14:36:27.000Z

    This data set is no longer being updated. Please see the data set 'Permit Applications'. Data set of Building Permit Applications submitted to the City of Orlando that fall within a Mainstreet District - All Application Types and Statuses. Data activity from 10/1/2013 - Update date. Refreshed weekly. Mainstreet Districts include: Audubon Park Garden District Church Street Parramore Zone City District College Park Curry Ford West Gateway Orlando Ivanhoe Village The Milk District Mills 50 SoDo Thornton Park District West Lakes Please note that the number and scope of Main Street Districts has changed over time and there may be variances between historical and present day definitions or boundaries. Disclaimer: This data is derived from the Economic Development Platform, we acknowledge there is always the possibility of mechanical or human error. The City of Orlando does not guarantee the accuracy of the information. The City of Orlando will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. Additionally, because City policy and operations regarding reporting might change, the data may have limited value for comparisons over time.

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    Sidewalk Snow Removal - Nov 2019 - Edmonton Insight Community

    data.edmonton.ca | Last Updated 2021-01-18T22:12:37.000Z

    This was the Sidewalk Snow Removal - Nov 2019 survey. The City of Edmonton is collecting information on barriers and motivators to removing snow and ice on sidewalks adjacent to residential private property. The results of this survey will be used to develop and enhance programs and create communications on the need to keep sidewalks clear of snow and ice. Thank you for your participation. https://www.edmontoninsightcommunity.ca/c/a/5bQeKWwQUAD7VuUK750NVo?t=1

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    Strategic Measure_Number and percentage of creatives who report having access to affordable creative space

    datahub.austintexas.gov | Last Updated 2024-05-03T13:52:58.000Z

    This dataset supports measure CLL.B.6, CLL.A.2 of SD23 and was collected from individual artists and arts organizations; both for-profit and non-profit. This data has very specific space needs by arts discipline. Data sourced from the Cultural Arts Space Survey. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/hfbb-kg6t

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    Number and Percentage of Creatives who report having Access to Affordable Creative Space (Individual Artists), CLL.B.6

    datahub.austintexas.gov | Last Updated 2024-10-24T16:16:24.000Z

    This dataset is comprised of arts organizations and businesses’ responses to the 2017 Creative Space Survey. This survey, conducted annually, provides a platform for Austin creatives to keep the City up-to-date on current space needs provides data to inform the Economic Development Department’s creative space development efforts and includes data on current costs, sizes, and ideal specifications for creative workspaces. The results captured here were collected over the course of 2018. The Creative Space Survey is comprised of two surveys- one for individual artists and one for arts organizations and businesses. For more information or to view the other survey results, visit www.austintexas.gov/creativespacesurvey. This survey is also used to capture Strategic Direction Metric CLL.B.6: Number and percentage of creatives who report having access to affordable creative space. This product has been produced by the Economic development Department of the City of Austin for the sole purpose of informational reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.

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    NYC Building Energy and Water Data Disclosure for Local Law 84 (2022-Present)

    data.cityofnewyork.us | Last Updated 2024-10-01T19:56:35.000Z

    Local Law 84 of 2009 (LL84) requires annual energy and water benchmarking data to be submitted by owners of buildings with more than 50,000 square feet. This data is collected via the Environmental Protection Agency's (EPA) <a href="https://www.energystar.gov/buildings/tools-and-resources/portfolio-manager-0">Portfolio Manager website</a> Each property is identified by it's EPA assigned property ID, and can contain one or more tax lots identified by one or more BBLs (Borough, Block, Lot) or one or more buildings identified by one or more building identification numbers (BIN) Please visit <a href="https://www1.nyc.gov/site/buildings/codes/benchmarking.page">DOB's Benchmarking and Energy Efficiency Rating page</a> for additional information.

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    South Sudan Unity State Baseline Report: WASH

    datahub.usaid.gov | Last Updated 2024-06-25T02:12:04.000Z

    To get a better understanding and assess the severity of the nutrition and mortality situation in Mayendit County, implementing partners conducted a Nutrition and Mortality SMART survey from the 10th to 23rd of December, 2015. The overall survey objective was to determine the nutrition status among children aged 6 to 59 months and to estimate crude and under-five retrospective mortality rates in Mayendit County, Unity State. Data collected included morbidity data (two-week recall), immunization and supplementation coverage, and a qualitative component on Food Security and Livelihoods (FSL).

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    Feed the Future Tajikistan Zone of Influence Population Based Survey, Women's File

    datahub.usaid.gov | Last Updated 2024-06-25T02:33:40.000Z

    The baseline survey in Tajikistan captures data in the Feed the Future Zones of Influence (ZOI), comprised of 12 of the 24 districts in Khatlon province. A total of 2,000 households in the ZOI were surveyed for the PBS data collection activity. These households are spread across 100 standard enumeration areas in the targeted districts. The survey is comprised of ten CSV files: a children's file, a household-level file, a household member level file, a women's file, several files describing consumption, and two files used to construct the Women's Empowerment in Agriculture Index. This file is an individual-level dataset with the data for all women age 15-49 with a completed interview captured in Module H of the questionnaire.

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    Feed The Future Rwanda Baseline Household Survey, Women's Data

    datahub.usaid.gov | Last Updated 2024-06-07T22:42:14.000Z

    The Rwanda Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in almost the entire country, including all four provinces and all of rural Rwanda. This is an individual dataset with all women with a completed interview in Module H of the questionnaire.