The land area of Spring Valley, NV was 33 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 Spring Valley, NV

  • API

    Current Season Spring Trout Stocking

    data.ny.gov | Last Updated 2021-02-23T14:20:30.000Z

    DEC stocks more than 2.3 million catchable-size brook, brown, and rainbow trout in over 309 lakes and ponds and roughly 2,900 miles of streams across the state each spring. This dataset represents the planned stocking numbers, species and time of spring for those waters for the current fishing season. The current stocking data is updated annually in mid-March.

  • API

    Water Quality Sampling Data

    data.austintexas.gov | Last Updated 2021-06-02T18:50:08.000Z

    Data collected to assess water quality conditions in the natural creeks, aquifers and lakes in the Austin area. This is raw data, provided directly from our Field Sample database (FSDB) and should be considered provisional. Data may or may not have been reviewed by project staff.

  • API

    Mosquitoes Trap Data (May 2011 to Sep 2015)

    data.edmonton.ca | Last Updated 2019-08-08T16:54:13.000Z

    Capture results of mosquitoes from various locations in Edmonton. These collections are from standard New Jersey light traps that are commonly used to record changes in abundance of mosquitoes before and after control campaigns and to compare seasonal and annual fluctuations in population. Since not all mosquito species are attracted equally to light traps, the City uses a variety of other trapping and survey methods (with their own limitations) to monitor mosquitoes. Not all trap collection sites are factored into the historical averages. Some data can be incomplete due to trap failure. Some trap locations change over time. Trap collections reflect, not absolute population levels, but mosquito activity, which is influenced by changing environmental conditions (temperature, humidity, wind, etc.). The weekly averages do not include any male mosquitoes or any females of species that do not typically bite people. Each data set reflects the mosquito activity of the week previous to the collection date. To complement this dataset, there is the Rainfall Guage data which measures rainfall data in the Greater Edmonton area - https://data.edmonton.ca/Environmental-Services/Rainfall-Gauge-Results/7fus-qa4r

  • 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

    Iowa Physical and Cultural Geographic Features

    mydata.iowa.gov | Last Updated 2021-06-23T22:01:49.000Z

    This dataset contains is a list of Iowa features contained in the Geographic Names Information System (GNIS). The GNIS is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types. See http://geonames.usgs.gov for additional information. The Geographic Names Information System contains information about physical and cultural geographic features of all types, current and historical, but not including roads and highways. The database assigns a unique, permanent feature identifier, the Feature ID, as a standard Federal key for accessing, integrating, or reconciling feature data from multiple data sets. The GNIS collects data from a broad program of partnerships with Federal, State, and local government agencies and other authorized contributors.

  • API

    Sonoma County Rebuilding Permits

    data.sonomacounty.ca.gov | Last Updated 2021-06-23T14:20:20.000Z

    Rebuilding permits issued in unincorporated Sonoma County on parcels impacted by the 2017 Sonoma Fire Complex.

  • API

    Public Fishing Rights Parking Areas

    data.ny.gov | Last Updated 2019-06-10T18:02:35.000Z

    The New York State Department of Environmental Conservation (DEC) maintains a network of Public Fishing Right parking areas along trout streams in New York. This dataset represents the locations and information about those parking areas. Links to PDF maps of the actual Public Fishing Rights along the streams are available as part of the data set.

  • API

    Landfill Tonnage by Jurisdiction

    data.countyofriverside.us | Last Updated 2017-06-01T15:49:25.000Z

    Total landfilled waste received by each jurisdiction (city) into each active landfill (not inclusive of Rural, non-scaled landfills). Data is finalized quarterly and available 3.5 months after each quarter. For example, first quarter data (Jan-Mar) is available June 15th.

  • API

    Environmental Sensitivity Project (2015)

    data.edmonton.ca | Last Updated 2019-09-13T20:05:53.000Z

    Historically, the City of Edmonton has managed ‘natural areas’ within the North Saskatchewan River Valley and the Tablelands separately, guided by inventories such as the Ribbon of Green and Geowest (1993). Over the past decade, City policy has shifted to manage natural areas with consideration of their role within an ecological network. Today, a goal of the City is to protect, preserve and enhance a functioning ecological network throughout the city limits. This network should include lands in both the river valley and the Tablelands. To further this goal, a model was developed in 2015 for determining environmental sensitivity scores across the entirety of the city. This model guided the collection of several digital data layers with coverage across the entire study area (including several ecological assets, threats to assets, and development and cultural constraints). Data layers were then used to develop spatial outputs that summarized the distribution of these assets, threats and constraints. These base layers have been compiled into this dataset to help inform planning, development and conservation throughout Edmonton. Environmental sensitivity analysis incorporated recent mapping of the ecological network of native and non-native vegetation, streams, wetlands and other waterbodies as much as possible, with practical limitations. The City’s urban Primary Land and Vegetation Inventory (uPLVI) and remote sensing data used for this assessment were completed in 2015 and 2013 respectively, which is relatively recent, but not current. Similarly, infrastructure data (roads, subdivision development and stormwater facilities) provided varied in month of acquisition from 2015. Some discrepancy between mapped and actual features may result, due to loss and changes from ongoing development activities.

  • API

    Environmental Radiation Surveillance West Valley Readings: Beginning 2009

    health.data.ny.gov | Last Updated 2019-09-26T14:54:52.000Z

    This dataset measures the water and milk near the West Valley Demonstration Project site and other locations (background) around NYS to determine the normal levels of radioactivity and monitors the influence of human activities on these levels. The site numbers represent the location from which samples are collected. This dataset is not designed, or intended to monitor releases from discharge points at a specific facility (e.g., a stack). The facility operator performs this type of monitoring to meet the requirements of its licensing agency (e.g., a federal agency or the New York State Department of Environmental Conservation). A column has been added for values which can be graphed. Readings where a less than value is displayed show a value that is less than the detection limit of the measurement method and are essentially equivalent to 0. Variations in detection limit are due to variations in sample collection and measurement instrument performance.