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Taxing Entities consist of a group of people who organize to tax themselves for specific purposes. These may include, but are not limited to: improvement and service districts for repairing or replacing a local road; water and sewer to provide infrastructure to a rural area for water and sewer facilities; conservation districts to help protect natural resources; and fire to provide fire protection services to rural areas, etc.
Categories: Data;
Types: Downloadable;
Tags: Counties,
Tax Entities,
United States,
Wyoming,
boundaries,
The mine permit boundary coverage was created for locational purposes and to aid counties in tax district assessment.
Tourist visitation spots: unique natural areas.
Categories: Data;
Types: Downloadable;
Tags: Communication,
Culture,
Department of Geography,
Economy,
Environment,
Tax district mapping is an important function of the Property Tax Division - Technical Services Group. The identification of tax districts aids in the mill levy process and helps counties redistribute tax funds more effectively.
Categories: Data;
Types: Downloadable;
Tags: Campbell County,
Counties,
Tax Districts,
Tax Entities,
United States,
Tax district mapping is an important function of the Property Tax Division - Technical Services Group. The identification of tax districts aids in the mill levy process and helps counties redistribute tax funds more effectively.
Categories: Data;
Types: Downloadable;
Tags: Counties,
Crook County,
Tax Districts,
Tax Entities,
United States,
The Utah Well & Spring database contains data of 2981 wells, springs, and miscellaneous sites such as collector wells and mines. It is available from the Utah Geological Survey at:http://geology.utah.gov/emp/geothermal/wells_springs_database.htmThe Conservation Biology Institute selected geothermal wells from this database. The geothermal well layer was then used in further analysis and modeling.
This polygon feature class describes areas used for subsistence harvesting of moose in 2011 by surveyed households in Takotna, Alaska. This is a partial representation of areas used for resource harvesting in 2011.
This feature class describes areas used for subsistence harvesting of sheefish by surveyed households in Ruby, Alaska. This is a partial representation of areas used for resource harvesting.
This polygon feature class describes areas used for subsistence harvesting of brown bear in 2011 by surveyed households in McGrath, Alaska. This is a partial representation of areas used for resource harvesting in 2011.
This feature class describes areas used for subsistence harvesting of sheefish by surveyed households in Galena, Alaska. This is a partial representation of areas used for resource harvesting.
This dataset shows the distribution of investigated and proposed hydroelectric source sites.
Most communities in the western and interior parts of the state rely primarily on electricity generated with diesel fuel. These communities had the most expensive electricity in 2011. Most remote rural communities are eligible for the Power Cost Equalization (PCE) program instituted by the state to offset the high fuel prices in these communities. The program pays 95% of residential electricity cost However, the program has not been fully funded by the Legislature in 15 out of its 25 years of existence, and electricity rates in rural Alaska with PCE are still higher than in urban Alaska. There has been a recent dramatic increase in fuel prices throughout Alaska. This dataset shows the change in price of a gallon...
The Alaska Resource Data File (ARDF) is a subset of the National Mineral Resource Data System (MRDS) that has been specifically re-formatted and re-designed to better meet the needs of the local user community.
This data depicts random points generated within ESRI modelbuilder. The methodology to generate these points is documented within the Current Subsistence toolbox, model: YKL_DV_B_C_Subsistence_Step1_RiverSegments.
This coverage displays the non-surveyed boundaries of active (recorded or interim) federal mining claims within the State of Alaska. Each mining claim is represented as an individual region, identified by the casefile serial number which can be linked to background data via the ALIS (Alaska Land Information System). Mining claim boundaries were identified in location notices from the original casefiles. They were plotted on maps based on rough sketches, claimant maps or physical descriptions. The mining claim boundaries were transferred (when applicable) by use of a zoom-transfer scope and light table from claimant maps or estimated from land descriptions onto 1:63,360 quadrangle maps. Claims were then digitized...
This points feature class describes areas used for subsistence harvesting of sheefish in 2011 by surveyed households in Anvik, Alaska. This is a partial representation of areas used for resource harvesting in 2011.
This feature class describes areas used for subsistence harvesting of moose in 2011 by surveyed households in Anvik, Alaska. This is a partial representation of areas used for resource harvesting in 2011.
This feature class describes areas used for subsistence harvesting of salmon in 2009 by surveyed households in Chuathbaluk, Alaska. This is a partial representation of areas used for resource harvesting in 2009.
This feature class describes areas used for subsistence harvesting of wolves in 2009 by surveyed households in Aniak, Alaska. This is a partial representation of areas used for resource harvesting in 2009.
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - As a final measure of potential human impacts to the ecoregions, the impacts of current anthropogenic development are summarized in a 60 x 60 m grid by the landscape condition model (LCM). The LCM weights the relative influence of different types of human footprints based on factors like permanence, nature of the activity,...
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