The population density of Bath, ME was 915 in 2018. The population density of Old Orchard Beach, ME was 1,185 in 2018.
Population Density
Population Density is computed by dividing the total population by Land Area Per Square Mile.
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Geographic and Population Datasets Involving Bath, ME or Old Orchard Beach, ME
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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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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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New York City Work and Family Leave Survey (WFLS) 2014
data.cityofnewyork.us | Last Updated 2022-05-09T22:25:47.000ZThe New York City Work and Family Leave Survey (WFLS), conducted in March 2016, was a telephone survey of New York City residents who gave birth in 2014. Its goal was to improve understanding about the availability and accessibility of paid family leave to working parents. The WFLS also sought to describe the role that paid family leave policies play in achieving health equity for parents and children. The WFLS was made possible through funding by the U.S. Department of Labor Women’s Bureau.
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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.
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Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda--Maternal Health and Household Sanitation
datahub.usaid.gov | Last Updated 2024-07-12T09:17:17.000ZThis dataset captures data about the mothers in the households surveyed as part of the Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda as well as the water and sanitation resources available to the household. This dataset contains data from Modules F and J of the questionnaire and has 295 columns and 4,766 rows. In fiscal year 2012, USAID's Office of Food for Peace (FFP) awarded funding to private voluntary organizations (PVOs) to design and implement a multi-year Title II development food assistance program in Uganda. The main purpose of the Title II program is to improve long-term food security of chronically food insecure population in the target regions. FFP contracted a firm, ICF International to conduct a baseline study in targeted areas of the country prior to the start of the new program. The purpose of the study was to assess the current status of key indicators, have a better understanding of prevailing conditions and perceptions of the population in the implementation areas, and serve as a point of comparison for future final evaluations. Results would also be used to further refine program targeting and, where possible, to understand the relationship between variables to inform program design. The study was conducted in 2013, while FFP expects to conduct final evaluations as close as possible to the end of the program five years later. The data asset is comprised of six datasets: 1) a description of all members of the households surveyed, 2) data on maternal health and sanitation practices, 3) data about the children in the household, 4) data describing the agricultural practices of the household, 5) data describing the food consumption of the household (broken into 4 smaller spreadsheets), and 6) and a description of the weights that should be applied during the analysis of the other datasets.
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Baseline Study of Food for Peace Title II Development Food Assistance Program in Niger-- Household Sanitation and Maternal Health
datahub.usaid.gov | Last Updated 2024-07-12T09:55:20.000ZThis dataset captures data about the mothers in the households surveyed as part of the Baseline Study of Food for Peace Title II Development Food Assistance Program in the Maradi and Zinder regions in Niger as well as the water and sanitation resources available to the household. It has 200 columns and 7,337 rows. In fiscal year 2012, USAID's Office of Food for Peace (FFP) awarded funding to private voluntary organizations (PVOs) to design and implement a multi-year Title II development food assistance program in Niger. The main purpose of the Title II program is to improve long-term food security of chronically food insecure population in the target regions. FFP contracted a firm, ICF International to conduct a baseline study in targeted areas of the country prior to the start of the new program. The purpose of the study was to assess the current status of key indicators, have a better understanding of prevailing conditions and perceptions of the population in the implementation areas, and serve as a point of comparison for future final evaluations. Results would also be used to further refine program targeting and, where possible, to understand the relationship between variables to inform program design. The study was conducted in 2013, while FFP expects to conduct final evaluations as close as possible to the end of the program five years later.
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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.