The land area of Vermont was 9,217 in 2018. The land area of Wyoming was 97,093 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 -
Geographic and Area Datasets Involving Vermont or Wyoming
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Harmful Algal Bloom Statewide Occurrence Summary: 2012-2018
data.ny.gov | Last Updated 2020-09-30T23:16:01.000ZA summary of the maximum bloom status that was documented by the DEC HABs Program in each waterbody in each year from 2012-2018. Continuing data available at https://data.ny.gov/Energy-Environment/Harmful-Algal-Blooms-by-Waterbody-Summary-Beginnin/95my-wijm.
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WatershedHealthMonitoring_Locations
internal.open.piercecountywa.gov | Last Updated 2021-02-25T00:00:10.000ZWatershed Health data collected by Planning and Public Works Water Quality staff. Data is collected throughout the year and is based on the water year (October 1 -September 30). Water Quality Index scores are displayed. Water Quality Index allows different parameters to be compared regardless of the scales.
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Citizen Statewide Lake Monitoring Assessment Program (CSLAP) Lakes
data.ny.gov | Last Updated 2024-03-01T18:08:08.000ZThe dataset represents the lakes participating in the Citizen Statewide Lake Monitoring Assessment Program (CSLAP). CSLAP is a volunteer lake monitoring and education program that is managed by DEC and New York State Federation of Lake Associations (NYSFOLA). The data collected through the program is used to identify water quality issues, detect seasonal and long term patterns, and inform volunteers and lake residents about water quality conditions in their lake. The program has delivered high quality data to many DEC programs for over 25 years.The dataset catalogs CSLAP lake information; including: lake name, lake depth, public accessibility, trophic status, watershed area, elevation, lake area, water quality classification, county, town, CSLAP status, years sampled, and last year sampled.
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Waste Tire Abatement Sites
data.ny.gov | Last Updated 2022-08-12T17:59:04.000ZInformation on designated waste tire abatement sites in New York State, including approximate size, location, and abatement status.
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Aquatic Biological Monitoring Sampling Locations: Beginning 1980
data.ny.gov | Last Updated 2024-05-02T15:02:49.000ZThe 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.
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SPDES Multi-Sector General Permit (MSGP) Facilities
data.ny.gov | Last Updated 2023-04-14T19:16:46.000ZThe SPDES Multi-Sector General Permit (MSGP), which is administered by the Department of Environmental Conservation (the Department), regulates stormwater discharges associated with industrial activity from a point source. The MSGP covers thirty one different industrial sectors which include activities such as mining, land transportation, and scrap recycling. The dataset displays information on facilities that have active MSGP coverage in New York State. Information included in the data set include the facility’s name, address, contact information, industrial sector(s), discharging waterbody, and location of the facility’s Stormwater Pollution Prevention Plan. For more information, please go to http://www.dec.ny.gov/chemical/62803.html.
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Current Descriptive Data of Municipal Wastewater Treatment Plants
data.ny.gov | Last Updated 2019-06-10T18:04:47.000ZData containing municipal wastewater treatment plant design other features, with data current through the most recent survey.
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Land Use_data
opendata.utah.gov | Last Updated 2024-04-10T19:40:16.000ZThis dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe’s Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe’s Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS.
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County
data.vermont.gov | Last Updated 2022-12-11T11:35:23.000Z<span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>This layer contains a </span><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><span style='font-weight:bold;'>Vermont-only subset</span> </span>of county level 2020 Decennial Census redistricting data as reported by the U.S. Census Bureau </span><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>for all states plus DC and Puerto Rico. The attributes come from the 2020 Public Law 94-171 (P.L. 94-171) tables.</span><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><br /></div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><b>Data download date:</b> August 12, 2021</div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><b>Census tables:</b> P1, P2, P3, P4, H1, P5, Header</div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><b>Downloaded from:</b> <a href='https://www2.census.gov/programs-surveys/decennial/2020/data/01-Redistricting_File--PL_94-171/?' style='font-family:"Avenir Next", Avenir, "Helvetica Neue", Helvetica, Arial, sans-serif; font-size:15px;' target='_blank' rel='nofollow ugc noopener noreferrer'>Census FTP site</a></div><div><div style='font-family:inherit; font-size:16px;'><br /></div><div style='font-family:inherit; font-size:16px;'><b>Processing Notes:</b></div><div><ul><li>Data was downloaded from the U.S. Census Bureau FTP site, imported into SAS format and joined to the 2020 TIGER boundaries. Boundaries are sourced from the <a href='https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html' style='font-family:inherit; color:rgb(0, 121, 193); text-decoration-line:none;' target='_blank' rel='nofollow ugc noopener noreferrer'>2020 TIGER/Line Geodatabases</a><span style='font-family:inherit;'>. Boundaries have been projected into Web Mercator and each attribute has been given a clear descriptive alias name. No alterations have been made to the vertices of the data.</span></li><li>Each attribute maintains it's specified name from Census, but also has a descriptive alias name and long description derived from the technical documentation provided by the Census. </li><li>For a detailed list of the attributes contained in this layer, view the Data tab and select "Fields". </li><li>The following alterations have been made to the tabular data:</li><ul><li>Joined all tables to create one wide attribute table:</li><ul><li>P1 - Race</li><li>P2 - Hispanic or Latino, and not Hispanic or Latino by Race</li><li>P3 - Race for the Population 18 Years and Over</li><li>P4 - Hispanic or Latino, and not Hispanic or Latino by Race for the Population 18 Years and Over</li><li>H1 - Occupancy Status (Housing)</li><li>P5 - Group Quarters Population by Group Quarters Type (correctional institutions, juvenile facilities, nursing facilities/skilled nursing, college/university student housing, military quarters, etc.)</li><li>Header</li></ul><li>After joining, dropped fields: FILEID, STUSAB, CHARITER, CIFSN, LOGREC
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Energy Code Annual Report Submissions: Beginning 2007
data.ny.gov | Last Updated 2024-06-04T12:16:19.000ZThe Division of Building Standards and Codes (BSC) administers the mandatory statewide Uniform Fire Prevention and Building Code (Uniform Code) and State Energy Conservation Construction Code (Energy Code). The Division provides technical assistance, administers variances, delivers educational courses, oversees the enforcement practices of local governments and serves as secretariat to the State Fire Prevention and Building Code Council. The Division program was created by Chapter 707 of the Laws of 1981. The New York Legislature enacted Article 18 of the Executive Law, directing the formulation of a Uniform Fire Prevention and Building Code (Uniform Code). The Uniform Code is designed to cover new construction, building rehabilitation, fire safety, and housing maintenance. This dataset provides annually reported data on administration and enforcement of the State Energy Conservation Construction Code in each local government jurisdiction pursuant to 19 NYCRR 1203.