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The population density of Many Farms, AZ was 254 in 2009.

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 - 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 Population Datasets Involving Many Farms, AZ

  • API

    COVID-19 Cases by Zip Code

    citydata.mesaaz.gov | Last Updated 2024-10-23T21:00:30.000Z

    Information reported weekly by the Arizona Department of Health of confirmed COVID-19 cases by zip code and displayed here to better visualize the data. Direct REST Endpoint URL in Source Link field below. Statewide data available at https://www.azdhs.gov/preparedness/epidemiology-disease-control/infectious-disease-epidemiology/covid-19/dashboards/index.php.

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    City of Mesa Population

    citydata.mesaaz.gov | Last Updated 2024-07-01T14:40:25.000Z

    City of Mesa population provided by Census Bureau Population Estimates Program (PEP) updated annually as of July 1. See <b><a href="https://www.census.gov/programs-surveys/popest/data/tables.html?utm_campaign=20240516pio&utm_medium=email&utm_source=govdelivery">Population and Housing Unit Estimates.</b></a> Census PEP estimates are used for state revenue sharing per AZ statute (42-5033.01). <b>This dataset is the authoritative source for all city metrics such as Crimes or Traffic Collisions per 1,000 residents.</b> 2024-2040 population projections provided by Maricopa County Association of Governments (MAG) and adopted June 2023. MAG's planning area and incorporated jurisdiction projections are published at <b><a href="https://azmag.gov/Portals/0/Maps-Data/Population-Housing/MAG-Socioeconomic-Projections-Report-2023.pdf?ver=02iYbZGsxK1mEY4JfIy5ZQ%3d%3d">2023 MAG Socioeconomic Projections</b></a> Other sources of population estimates include US Census American Community Survey 1-year and 5-year Estimates at https://citydata.mesaaz.gov/d/n5gn-m5c3 and https://citydata.mesaaz.gov/Economic-Development/d/9nqf-ygw6, Arizona Office of Economic Opportunity (OEO) at https://www.azcommerce.com/oeo/population/population-estimates/ (see link for OEO methodology which differs slightly from official US Census Estimates) and City of Mesa Office of Economic Development at https://www.selectmesa.com/business-environment/demographics (ESRI Community Analyst).

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    NYCHA Development Data Book

    data.cityofnewyork.us | Last Updated 2024-05-13T15:53:04.000Z

    Contains the main body of the "Development Data Book". The Development Data Book lists all of the Authority's Developments alphabetically and includes information on the development identification numbers, program and construction type, number of apartments and rental rooms, population, number of buildings and stories, street boundaries, and political districts.

  • API

    Unsheltered Point-In-Time (PIT) Count 2022 Details Mesa Only

    citydata.mesaaz.gov | Last Updated 2023-06-14T14:39:27.000Z

    Detailed results from the 2022 Point-in-Time (PIT) count of unsheltered individuals identified and/or interviewed in Mesa on the morning of January 25, 2022. Aggregated and summarized regional data available at https://data.mesaaz.gov/Community-Services/Unsheltered-Point-in-Time-PIT-Count-Phoenix-Metro-/jagk-fkkw The PIT count is conducted annually in January. See the attached 2022 PIT Unsheltered Count Form for more information about questions asked. See also the Maricopa Association of Governments to learn more about the Point-in-Time Homeless Count program: https://azmag.gov/Programs/Homelessness/Point-In-Time-Homeless-Count

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    Feed The Future Zambia Baseline Population Based Survey: Women's Empowerment in Agriculture Index

    datahub.usaid.gov | Last Updated 2024-06-07T23:37:52.000Z

    The 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 is one of two files used to construct the Women's Empowerment in Agriculture Index.

  • API

    Feed the Future Tajikistan Zone of Influence Population Based Survey, Women's Empowerment in Agriculture Index-Household File

    datahub.usaid.gov | Last Updated 2024-06-25T02:08:06.000Z

    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 reports household level data from the Women's Empowerment in Agriculture Index (WEAI). The WEAI measures the empowerment, agency, and inclusion of women in the agriculture sector in an effort to identify and address the constraints that limit women’s full engagement in the agriculture sector.

  • API

    Feed the Future Nepal Baseline Household Survey, Women's File

    datahub.usaid.gov | Last Updated 2024-06-07T23:08:46.000Z

    The Nepal Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in 20 districts across the western, mid-western and far-western development regions of the country. This file reports data reported by women survey participants.

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    Feed the Future Nepal Baseline Household Survey, Women's Empowerment in Agriculture Index-Household File

    datahub.usaid.gov | Last Updated 2024-06-07T23:48:23.000Z

    The Nepal Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in 20 districts across the western, mid-western and far-western development regions of the country. This file reports household level data from the Women's Empowerment in Agriculture Index (WEAI). The WEAI measures the empowerment, agency, and inclusion of women in the agriculture sector in an effort to identify and address the constraints that limit women’s full engagement in the agriculture sector.

  • API

    Baseline Study of Food for Peace Title II Development Food Assistance Program in Niger--Agricultural Practices: Section 1

    datahub.usaid.gov | Last Updated 2024-07-12T10:07:13.000Z

    This dataset describes the agricultural practices within households interviewed as part of Baseline Study of Food for Peace Title II Development Food Assistance Program in the Maradi and Zinder regions in Niger. 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. In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully.

  • API

    Uninsured Population Census Data CY 2009-2014 Human Services

    data.pa.gov | Last Updated 2022-10-18T14:19:11.000Z

    This data is pulled from the U.S. Census website. This data is for years Calendar Years 2009-2014. Product: SAHIE File Layout Overview Small Area Health Insurance Estimates Program - SAHIE Filenames: SAHIE Text and SAHIE CSV files 2009 – 2014 Source: Small Area Health Insurance Estimates Program, U.S. Census Bureau. Internet Release Date: May 2016 Description: Model‐based Small Area Health Insurance Estimates (SAHIE) for Counties and States File Layout and Definitions The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. This program builds on the work of the Small Area Income and Poverty Estimates (SAIPE) program. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties. For 2008-2014, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of: •5 age categories: 0-64, 18-64, 21-64, 40-64, and 50-64 •3 sex categories: both sexes, male, and female •6 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-138%, 0-200%, 0-250%, 0-400%, and 138-400% of the poverty threshold •4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race). In addition, estimates for age category 0-18 by the income categories listed above are published. Each year’s estimates are adjusted so that, before rounding, the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured. This program is partially funded by the Centers for Disease Control and Prevention's (CDC), National Breast and Cervical Cancer Early Detection ProgramLink to a non-federal Web site (NBCCEDP). The CDC have a congressional mandate to provide screening services for breast and cervical cancer to low-income, uninsured, and underserved women through the NBCCEDP. Most state NBCCEDP programs define low-income as 200 or 250 percent of the poverty threshold. Also included are IPR categories relevant to the Affordable Care Act (ACA). In 2014, the ACA will help families gain access to health care by allowing Medicaid to cover families with incomes less than or equal to 138 percent of the poverty line. Families with incomes above the level needed to qualify for Medicaid, but less than or equal to 400 percent of the poverty line can receive tax credits that will help them pay for health coverage in the new health insurance exchanges. We welcome your feedback as we continue to research and improve our estimation methods. The SAHIE program's age model methodology and estimates have undergone internal U.S. Census Bureau review as well as external review. See the SAHIE Methodological Review page for more details and a summary of the comments and our response. The SAHIE program models health insurance coverage by combining survey data from several sources, including: •The American Community Survey (ACS) •Demographic population estimates •Aggregated federal tax returns •Participation records for the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp program •County Business Patterns •Medicaid •Children's Health Insurance Program (CHIP) participation records •Census 2010 Margin of error (MOE). Some ACS products provide an MOE instead of confidence intervals. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.