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The land area of The Village, OK was 3 in 2017.

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 The Village, OK

  • API

    DWR Dam Safety Jurisdictional Dam

    data.colorado.gov | Last Updated 2024-09-25T06:04:56.000Z

    A Jurisdictional Dam is a dam creating a reservoir with a capacity of more than 100 acre-feet, or creates a reservoir with a surface area in excess of 20 acres at the high-water line, or exceeds 10 feet in height measured vertically from the elevation of the lowest point of the natural surface of the ground where that point occurs along the longitudinal centerline of the dam up to the crest of the emergency spillway of the dam. For reservoirs created by excavation, or where the invert of the outlet conduit is placed below the surface of the natural ground at its lowest point beneath the dam, the jurisdictional height shall be measured from the invert of the outlet at the longitudinal centerline of the embankment or from the bottom of the excavation at the longitudinal centerline of the dam, whichever is greatest. Jurisdictional height is defined in Rule 4.2.19. The State Engineer shall have final authority over determination of the jurisdictional height of the dam.

  • API

    Real Property Tax - 2016

    data.montgomerycountymd.gov | Last Updated 2023-06-27T19:27:56.000Z

    This data represents all of the County’s residential real estate properties and all of the associated tax charges and credits with that property processed at the annual billing in July of each year, excluding any subsequent billing additions and/or revisions throughout the year. This dataset excludes the names of the property owners. The addresses in this database represent the address of the property. For more information about the individual taxes and credits, please go to http://www.montgomerycountymd.gov/finance/taxes/faqs.html#credit. Update Frequency: Updated Annually in July

  • API

    Hudson River Valley Greenway Water Trail Designated Sites

    data.ny.gov | Last Updated 2019-06-10T18:01:48.000Z

    A listing of sites designated as part of the Hudson River Greenway Water Trail— National Water Trail

  • API

    Aquatic Biological Monitoring Sampling Locations: Beginning 1980

    data.ny.gov | Last Updated 2024-05-02T15:02:49.000Z

    The Division of Water Stream Biomonitoring Unit (SBU) dataset contains the point sampling locations at which benthic macroinvertebrates, field chemistry, and at some locations, sediment, fish or diatoms have been collected as part of the Rotating Integrated Basin Studies (RIBS) program, Rapid Biological Assessments (RAS), or special studies. The data collected are used for water quality assessment (input to the Waterbody Inventory, completion of the 305(b) report and 303(d) list of impaired Waters) and for track-down of water quality problems. The data set is maintained by the Division of Water, Bureau of Water Assessment and Management, Stream Biomonitoring Unit.

  • API

    Real Property Tax - 2017

    data.montgomerycountymd.gov | Last Updated 2023-07-26T17:45:53.000Z

    This data represents all of the County’s residential real estate properties and all of the associated tax charges and credits with that property processed at the annual billing in July of each year, excluding any subsequent billing additions and/or revisions throughout the year. This dataset excludes the names of the property owners. The addresses in this database represent the address of the property. For more information about the individual taxes and credits, please go to http://www.montgomerycountymd.gov/finance/taxes/faqs.html#credit. Update Frequency: Updated Annually in July

  • API

    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 2024-07-12T09:17:17.000Z

    This 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.

  • API

    Current Descriptive Data of Municipal Wastewater Treatment Plants

    data.ny.gov | Last Updated 2019-06-10T18:04:47.000Z

    Data containing municipal wastewater treatment plant design other features, with data current through the most recent survey.

  • API

    Baseline Study of Food for Peace Title II Development Food Assistance Program in Niger-- Household Sanitation and Maternal Health

    datahub.usaid.gov | Last Updated 2024-07-12T09:55:20.000Z

    This 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.

  • API

    Crustaceans and Demersal, Large Pelagic and Small Pelagic Fish (Operational Data)

    datahub.usaid.gov | Last Updated 2024-07-12T10:14:09.000Z

    Operational data provides operational information of sampled fishing vessels that contains specifications of vessel, engine and fishing gears, and operational inputs. The variables of these data are: organization/project; ID trip; surveyor; landing site/collector; fishing ground (fisheries management area/WPP); sampling time; time; commodity; vessel name/owner; mark; vessel owner; captain name; departure; arrival; origin port; crew (individual); vessel length; vessel weight; main engine; second engine; vessel material; light power; vessel space (unit); box total (unit); space/box capacity; auxiliary vessel; auxiliary vessel; size; freezer; freezer capacity; GPS use ; GPS type; andon (mobile fishing from other provinces) vessel; andon vessel provenance; fishing gear; fishing gear specifications; value; unit; material; tools operated (unit); fishing areas; setting total; ice block total; water depth (start); water depth (real); number of days per trip; number of days per catch; FAD use; FAD visited; FAD succeeded; fishing time; soaking (hour); comment; resources; total catch for consume in volume (Kg); total catch for consume in units (Ind); total catch in volume (Kg); total catch in units (Ind); local name; common name; species name; FAO; haul (Kg); units (Ind); storage method (fresh); storage method (frozen); storage method (salted); storage method (loin); storage method (boiled). The operational data can be used to estimate catch per unit effort (CPUE) of the fisheries and socioeconomics of the fisheries including associated cost.

  • API

    Crustaceans and Demersal, Large Pelagic and Small Pelagic Fish (Reproduction Data)

    datahub.usaid.gov | Last Updated 2024-07-12T10:14:05.000Z

    Reproduction data contains parameters that indicate the maturity level of the catches sampled. These data were only collected for crustaceans. The variables recorded are: organization/project; ID trip; surveyor; sampling site; sampling time; commodity; WPP; fishing areas; vessel name/owner; catcher; collector; fishing gear; local name; common name; species name; sample number; length (cm); length type; weight (gr); sex; level of maturity. The reproduction data can be used to see the size of the first spawned and the size at which all fish have been spawned.