The water area of Old Orchard Beach, ME was 15 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 -
Geographic and Area Datasets Involving Old Orchard Beach, ME
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Condition of Non-Tidal Wetlands
data.delaware.gov | Last Updated 2022-10-06T19:20:47.000ZIncludes all data collected to date about non-tidal wetland condition in Delaware. Data is collected in the field using the Delaware Rapid Assessment Procedure (DERAP).
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Sidewalk Snow Removal - Nov 2019 - Edmonton Insight Community
data.edmonton.ca | Last Updated 2021-01-18T22:12:37.000ZThis 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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Water Point Data Exchange - Plus (WPdx+)
data.waterpointdata.org | Last Updated 2024-09-22T06:08:09.000ZWPdx+ is an enhanced version of the WPdx-Basic dataset. For a full comparison between the two datasets, please visit our blog at https://www.waterpointdata.org/2021/10/07/introducing-wpdx-plus/. The Water Point Data Exchange (WPdx) is the global platform for sharing water point data. The WPdx Data Standard was designed by a wide range of stakeholders from across sectors and around the world. The core attributes included in the standard are already being collected by governments, researchers, and organizations around the world. To read more about the standard or to contribute water point data visit www.waterpointdata.org.
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Feed the Future Malawi Interim Survey in the Zone of Infuence, Household File
datahub.usaid.gov | Last Updated 2024-07-12T09:57:14.000ZThis dataset contains records describing each household sampled during the 2015 Feed the Future Malawi Interim Survey in the Zone of Influence. The survey was designed to monitor program performance by periodic assessments of a number of standardized indicators. A total of 1,021 households were interviewed, which provided data for the target sample size of 1,007 households and ensured the sample is representative of the seven districts covered in the interim assessment. This dataset includes variables from Modules A, D, and F in the questionnaire. The unique identifier for this file is pbs_id, Please note that all key household-level derived variables are also included in the household dataset, including, for example, gendered household type (“ghht”) and the household hunger indicator (“hhhunger”)
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South Sudan Unity State Baseline Report: WASH
datahub.usaid.gov | Last Updated 2024-06-25T02:12:04.000ZTo 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 2024-06-25T02:33:40.000ZThe 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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NYC Building Energy and Water Data Disclosure for Local Law 84 (2023-Present)
data.cityofnewyork.us | Last Updated 2023-08-30T18:55:16.000ZLocal 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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Feed the Future Uganda Interim Survey in the Zone of Influence, Household Members File
datahub.usaid.gov | Last Updated 2024-06-08T00:04:19.000ZFeed the Future Uganda Interim Survey in the Zone of Infuence: This dataset is a household-level file with records for each sampled household with a completed interview (n=778, variables=92). The file contains one record per household including data from modules A, D, and F in the questionnaire.
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Feed The Future Rwanda Baseline Household Survey, Women's Data
datahub.usaid.gov | Last Updated 2024-06-07T22:42:14.000ZThe 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.
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Feed The Future Zambia Baseline Population Based Survey: Women's File
datahub.usaid.gov | Last Updated 2024-06-07T23:36:45.000ZThe Zambia Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in five districts — Chipata, Katete, Lundazi, Nyimba, and Petauke in Zambia. This dataset contains responses from women surveyed.