The land area of Yellow Medicine County, MN was 759 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 - 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 Yellow Medicine County, MN

  • API

    Voter Registration Count By Precinct And District Data

    data.ramseycounty.us | Last Updated 2023-03-29T12:47:03.000Z

    This dataset shows voter registration totals by precinct, ward and district in Ramsey County.

  • API

    COVID-19 Variant Prevalence in Waste Water

    data.ramseycounty.us | Last Updated 2023-09-26T17:20:24.000Z

    SARS-CoV-2 prevalence in wastewater influent is determined from multiple samples of wastewater each day. Units are in millions of copies of N1 and N2 genes, per person in the sewage treatment area, per day. Viral load data are from Metropolitan Council and the University of Minnesota Genomics Center. Variant presence and frequency are inferred from the N501Y mutation (Alpha, Beta and Gamma); the L452R mutation (Delta); and the K417N mutation (Omicron). K417N mutations present before November 18, 2020 are assumed to be Beta variants, and are marked as Other in the variant column.

  • API

    COVID-19 Prevalence in Waste Water

    data.ramseycounty.us | Last Updated 2023-09-26T17:19:08.000Z

    SARS-CoV-2 prevalence in wastewater influent is determined from multiple samples of wastewater each day. Units are in millions of copies of N1 and N2 genes, per person in the sewage treatment area, per day. Viral load data are from Metropolitan Council and the University of Minnesota Genomics Center. Variant presence and frequency are inferred from the N501Y mutation (Alpha, Beta and Gamma); the L452R mutation (Delta); and the K417N mutation (Omicron). K417N mutations present before November 18, 2020 are assumed to be Beta variants, and are marked as Other in the variant column.

  • API

    Feed the Future Tajikistan Zone of Influence Population Based Survey, Children Data

    datahub.usaid.gov | Last Updated 2024-06-25T02:06:58.000Z

    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 survey results related to children.

  • API

    Guatemala Child Health Data

    datahub.usaid.gov | Last Updated 2024-07-12T10:00:55.000Z

    Data on child health in Segamil and Paisano in Guatemala

  • API

    Feed the Future Malawi Interim Survey in the Zone of Infuence, Children's File

    datahub.usaid.gov | Last Updated 2024-07-12T09:57:38.000Z

    This dataset contains records describing for all children under 5 years of age 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 data from Module I for children’s anthropometry and infant and young child feeding practices. The anthropometry Z-scores were calculated in SAS during the data management process, using the World Health Organization (WHO) SAS “igrowup” package. The unique identifiers for this file are pbs_id + idcode.

  • API

    Baseline Study of Food for Peace Title II Development Food Assistance Program in Niger--Child Health

    datahub.usaid.gov | Last Updated 2024-07-12T09:41:32.000Z

    This dataset describes the children and their health interviewed as part of Baseline Study of Food for Peace Title II Development Food Assistance Program in the Maradi and Zinder regions in Niger. It has 151 columns and 11,030 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.

  • API

    Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda--Child Health

    datahub.usaid.gov | Last Updated 2024-07-12T09:56:08.000Z

    This dataset describes the children and their health interviewed as part of Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda. This dataset contains data from Module D of the questionnaire and has 201 columns and 6,001 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.

  • API

    Feed the Future Northern Kenya Interim Survey in the Zone of Influence, Children's File

    datahub.usaid.gov | Last Updated 2024-06-07T23:16:30.000Z

    Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset contains records for all children under 5 years of age in the sampled households (n=1,435, vars=217).