The land area of Hurricane, WV was 4 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.

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Geographic and Area Datasets Involving Hurricane, WV

  • API

    Enterprise Zones

    data.richmondgov.com | Last Updated 2024-04-10T19:12:33.000Z

    Enterprise Zones. Zone III originated in 1995 with a 20-year time-span. This zone primarily covered areas in the Downtown area and commercial and industrial properties north of the James River and west of I-95. At that time a portion of residential parcels was included. Eight (8) years later, Henrico County and the City of Richmond applied for a Joint Zone (connecting at Broad Street and Brook Road). At that time, the original 20-year zone time was retained. The Joint Zone (Zone III/formerly North Zone) had a sunset date of December 31, 2014. In 2012, Henrico County contacted the Virginia Department of Housing and Community Development (DHCD) requesting that they be allowed 20 years for Zone III as a joint zone resulting in a sunset date of December 31, 2022. At the end of 2014, both the City and Henrico County applied for a Redesignation of Zone III from DHCD; the Redesignation application was approved in January of 2015 by the Virginia Commonwealth resulting in an extension of Zone III for both the City and Henrico County. The official sunset date was set at December 31, 2022. Contentwise, the Redesignated Zone III encompasses the commercial and industrial areas north of the James River including and west of I-95. Also, commercial corridors north of the James River and east of I-95 are included as well as Shockoe Bottom. Lastly, the Hull Street and Hull Street Road Corridors, Belt Boulevard between Hull Street Road and Midlothian Turnpike and Midlothian Turnpike corridor between the City line and Belt Boulevard are incorporated.

  • API

    Utah Census Data Cities 2009-2013

    opendata.utah.gov | Last Updated 2019-02-11T22:36:06.000Z

    Data derived from Population Estimates, American Community Survey, Census of Population and Housing, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits

  • API

    Special Protection Area Review Data

    data.montgomerycountymd.gov | Last Updated 2024-09-12T09:40:27.000Z

    A Special Protection Area (SPA) is a geographic area designated by the County Council which has high quality or unusually sensitive water resources and environmental features that would be threatened by proposed land development if special water quality protection measures were not applied. This dataset tracks reviews for development in all SPAs. Update Frequency : Daily.

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    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

    RSBS MOM: Part 1 of 2, New York State Residential Statewide Baseline Study: Survey of Multifamily Owners and Managers

    data.ny.gov | Last Updated 2019-11-15T22:04:57.000Z

    How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. This is part 1 (containing: Property Characteristics; Heating and Cooling; Water Heating; Tenant Appliances; Lighting; and Common Area) of 2; part 2 (https://data.ny.gov/d/hc4z-b2p5) contains: Purchasing Decisions; Washer and Dryer; and Miscellaneous. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes data from 219 completed Multifamily owner and manager surveys. The types of data collected during the survey cover property characteristics, heating and cooling equipment, water heating equipment, tenant appliances, lighting, purchasing decision, common areas, clothes washing and drying, and miscellaneous equipment. The data is segmented to cover both common space equipment and, to the degree possible, tenant-unit equipment, such as refrigerators or clothes washers that are included in the rental by the building ownership.

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    Public Fishing Rights Parking Areas

    data.ny.gov | Last Updated 2022-10-07T21:55:53.000Z

    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.

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    Stormwater Management Concept Information

    data.montgomerycountymd.gov | Last Updated 2024-10-01T09:50:15.000Z

    A stormwater management concept is a statement or drawing, or both, describing the manner in which stormwater runoff from a proposed development will be controlled to minimize damage to neighboring properties and receiving streams and to also prevent the discharge of pollutants into surface waters. Update Frequency : Daily.

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    Licensed water well drillers by company name Utah

    opendata.utah.gov | Last Updated 2019-04-19T02:21:26.000Z

    Licensed water well drillers by company name Utah

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    Municipal Wastewater COVID19 Sampling Data 10/1/2020-6/30/2022

    data.cambridgema.gov | Last Updated 2024-04-18T20:25:13.000Z

    This dataset is no longer being updated as of 6/30/2022. It is being retained on the Open Data Portal for its potential historical interest. In November 2020, the City of Cambridge began collecting and analyzing COVID-19 data from municipal wastewater, which can serve as an early indicator of increased COVID-19 infections in the city. The Cambridge Public Health Department and Cambridge Department of Public Works are using technology developed by Biobot, a Cambridge based company, and partnering with the Massachusetts Water Resources Authority (MWRA). This Cambridge wastewater surveillance initiative is funded through a $175,000 appropriation from the Cambridge City Council. This dataset indicates the presence of the COVID-19 virus (measured as viral RNA particles from the novel coronavirus per ml) in municipal wastewater. The Cambridge site data here were collected as a 24-hour composite sample, which is taken weekly. The MWRA site data ere were collected as a 24-hour composite sample, which is taken daily. MWRA and Cambridge data are listed here in a single table. An interactive graph of this data is available here: https://cityofcambridge.shinyapps.io/COVID19/?tab=wastewater All areas within the City of Cambridge are captured across four separate catchment areas (or sewersheds) as indicated on the map viewable here: https://cityofcambridge.shinyapps.io/COVID19/_w_484790f7/BioBot_Sites.png. The North and West Cambridge sample also includes nearly all of Belmont and very small areas of Arlington and Somerville (light yellow). The remaining collection sites are entirely -- or almost entirely -- drawn from Cambridge households and workplaces. Data are corrected for wastewater flow rate, which adjusts for population in general. Data listed are expected to reflect the burden of COVID-19 infections within each of the four sewersheds. A lag of approximately 4-7 days will occur before new transmissions captured in wastewater data would result in a positive PCR test for COVID-19, the most common testing method used. While this wastewater surveillance tool can provide an early indication of major changes in transmission within the community, it remains an emerging technology. In assessing community transmission, wastewater surveillance data should only be considered in conjunction with other clinical measures, such as current infection rates and test positivity. Each location is selected because it reflects input from a distinct catchment area (or sewershed) as identified on the color-coded map. Viral data collected from small catchment areas like these four Cambridge sites are more variable than data collected from central collection points (e.g., the MWRA facility on Deer Island) where wastewater from dozens of communities are joined and mixed. Data from each catchment area will be impacted by daily activity among individuals living in that area (e.g., working from home vs. traveling to work) and by daytime activities that are not from residences (businesses, schools, etc.) As such, the Regional MWRA data provides a more stable measure of regional viral counts. COVID wastewater data for Boston North and Boston South regions is available at https://www.mwra.com/biobot/biobotdata.htm

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    West Hollywood LASD Historical Crime Data - 2005 to 2021

    data.weho.org | Last Updated 2022-05-19T22:04:34.000Z

    This dataset provides geographically filtered data from LASD: https://lasd.org/transparency/part1and2crimedata/ The information has not been altered in any way. Incident Date = Date the crime incident occurred Incident Reported Date = Date the crime was reported to LASD Category = Incident crime category Stat = A three digit numerical coding system to identify the primary crime category for an incident Stat Desc = The definition of the statistical code number Address (last two digits of # rounded to 00) = The street number, street name, state and zip where the incident occurred Street (last two digits of # rounded to 00) = The street number and street name where the incident occurred City = The city where the incident occurred Zip = The zip code of the location where the incident occurred Incident ID = The URN #, or Uniform Report Number, is a unique # assigned to every criminal and noncriminal incident Reporting District = A geographical area defined by LASD which is within a city or unincorporated area where the incident occurred Seq = Each incident for each station is issued a unique sequence # within a given year Gang Related = Indicates if the crime incident was gang related (column added 08/02/2012) Unit ID = ORI # is a number issued by the FBI for every law enforcement agency Unit Name = Station Name Longitude (truncated to 3 decimals, equivalent to half-block rounding) (column added 01/04/2021) Latitude (truncated to 3 decimals, equivalent to half-block rounding) (column added 01/04/2021) Part Category = Part I Crime or Part II Crime indicator (replaced DELETED column 01/04/2021)