US Census Bureau American Community Survey (ACS) data summarizing Valley County Census Tracts by population, housing, owner vs renter occupied homes, age, disabilities, access to services (i.e. health insurance, smartphone, internet, vehicles), income, occupation, earnings based on gender, poverty and child well-being statistics.This dashboard is connected to the following map: Population Density & Statistics - Overview (arcgis.com)
Vector polygon map data of city limits from cities across the State of Idaho containing 201 features.
City limits GIS (Geographic Information System) data provides valuable information about the boundaries of a city, which is crucial for various planning and decision-making processes. Urban planners and government officials use this data to understand the extent of their jurisdiction and to make informed decisions regarding zoning, land use, and infrastructure development within the city limits.
By overlaying city limits GIS data with other layers such as population density, land parcels, and environmental features, planners can analyze spatial patterns and identify areas for growth, conservation, or redevelopment. This data also aids in emergency management by defining the areas of responsibility for different emergency services, helping to streamline response efforts during crises..
This city limits data is available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.
The intention of this dataset is to depict bighorn sheep distribution within Idaho for use in conservation and land use planning. Specifically, this dataset depicts distribution of bighorn sheep throughout the state of Idaho. North of Interstate 84 in Idaho, distribution is comprised of the Rocky Mountain Bighorn Sheep trophy type. South of Interstate 84 in Idaho, distribution is comprised of the California Bighorn Sheep trophy type. Uses of this dataset may include: monitoring the status of bighorn sheep in Idaho, assessing the extent to which bighorn sheep distribution overlaps other species' distributions, evaluating the potential effects of land use changes on bighorn sheep populations, and analyzing habitat and space use by bighorn sheep.
This analysis uses location data collected on pronghorn antelope that were fitted with GPS collars in Idaho for 2003 – 2020. Individuals using a winter range (as defined as a winter herd), were used for the analysis if their location data was available at the time of the analysis. Each individual’s location dataset is used to estimate winter and summer ranges, and seasonal spring and fall migration using net-squared displacement techniques (Bunnefeld et al. 2011). For pronghorn antelope, the anchor point used to measure distances from occurred near June1 since pronghorn antelope have a higher spatial fidelity to this time of year relative to more transient winter range locations. Fall and spring migration locations are used for the migration route analysis. After individual pronghorn antelope’s spring and fall migration locations are determined, a Brownian Bridge Movement Model (BBMM, Horne et al. 2007) is used to estimate the individuals Utilized Distribution (UD) during the seasonal migrations. Single seasonal migrations are then rescaled to use only the upper 99 percent volume contour. In this process the 99 percent value contour is subtracted from the UD and resulting values less than 0 are rescaled to zero. When an individual had several seasonal migrations, the resulting UDs distributions are combined and averaged to create a single UD of all the seasonal migrations conducted by that individual. Individual UDs are combined for all individuals in the winter herd with available UD information. For migration routes, the following classes were delineated based on the area’s use across the winter herd, used by 1 individual, used by two individuals to 10% of the winter herd, 10 to 20% use of the winter herd, and greater than 20% use by the winter herd. The population level UDs is used to estimate seasonal migration stopover locations. From the combined winter herd UD, the top 10% of recorded values are selected to represent population level stopovers. *** The Mountain Home pronghorn antelope seasonal migration analysis is limited by the number individuals such that only 10 to 20%, and greater than 20% migration route use could be classified. It is likely that IDFG will update mapped migration routes as additional spatial and temporal data becomes available. Mountain Home Pronghorn Antelope Seasonal Migration StatisticsAnalyzed/Prepared by: Scott BergenJanuary 2021Spatial MetricsAverage length of Migration: 25.5 milesMaximum Migration Length: 72.5 milesMinimum Migration: 2.2 milesTotal Migrations Analyzed 29Total Number of Individuals: 15Total Number Spring Migrations: 11Total Number Fall Migrations: 18Of 29 individual seasonal migrations, 29 used Brownian bridge movement models.Temporal DataExtent of Study: March 17, 2019 – December 27, 2020Spring MigrationFall MigrationStart Date AverageMarch 17November 30 Minimum February 23September 20 MaximumMay 17January 19End Date AverageApril 2December 9 MinimumFebruary 28September 30 MaximumMay 27January 21Duration Average10.2 days9.2 days Minimum0.7 days0.8 days Maximum55.8 days47 daysMigration Use Class StatisticsUse ClassAcres 1 individual380,553 Medium (10-20%)141,962 High (>20%)53,392 Stopover38,990
Issue: Relative Potential Benefit to Wildlife and Biodiversity The intent of this issue is to: Identify the areas of greatest conservation value for wildlife habitat and plant and animal biodiversity, and where management can enhance these values. Multiple data layers informed this issue. Data used: 1. Fish Distribution, comprised of: a. Bull Trout Fish Distribution b. Cutthroat Trout distribution c. Chinook Salmon distribution d. Steelhead Salmon distribution e. Sockeye Salmon distribution All fish distribution data came from Streamnet (http://www.streamnet.org/mapping_apps.cfm). The data represent current distribution and activity for the above species. More information on creation of this feature class is available at http://www.streamnet.org/about.html. Distribution data for each species was buffered by 75 feet on any critical habitat stream, river, or lake. These buffered layers were then converted into a 30 m raster grid and re-classed to either a 1 (presence) or 0 (absence). The final fish distribution map was derived by adding up the five sub layers and reclassifying 0 through 5 based on the number of separate species represented in each pixel. 2. Comprehensive Wildlife Conservation Strategy (CWCS) Focal Areas and Big Game a. Focal Areas from the Idaho CWCS (http://fishandgame.idaho.gov/ifwis/ifwisweb/IDCWCS/FA/) Through the workshop process, Idaho conservation partners mapped and attributed focal areas across Idaho. These are general areas known to be important for the species of greatest conservation need identified in the Idaho Comprehensive Wildlife Conservation Strategy, but by no means are intended to imply that conservation actions should be restricted to these areas. Focal areas were defined as resource-based, management-based, or both: Resource Focal Area: A geographical area necessary for the long-term persistence of SGCN and their habitats (in other planning efforts these may be referred to as High Resource Value Areas or Biologically Important Areas). Management Focal Area: A general geographical area that targets resources and efforts where they can benefit the largest number of species and habitats in need of conservation. Management focal areas are generally larger and may include species and/or habitats other than SGCN as well as non-biological factors. Focal areas were classified by their type, converted to 30m raster, and reclassified as: 0 where none exist, 1 where it is a resource Focal Area, and 3 if it is a Management Focal Area. b. Big Game Habitat from Idaho Fish and Game, including: i. Mule Deer - Concentrated Winter Range & Critical Habitat ii. Elk - Critical Summer and Winter Range iii. Mountain Goat - Habitat v. Bighorn Sheep - Priority Habitat Species were selected, and data provided by the Idaho Fish and Game Department. These species represent the most critical big game species per the CWCS. Each species habitat/range was converted to 30m raster and classified as 1 where the species exists, and 0 where it doesn't. The scores from both a) and b) above were added together. Pixels could have a score from 0 to 7. These were reclassified by natural breaks into five classes, 0 through 5. 3. The Nature Conservancy Ecoregional Conservation and Priority Conservation Areas, comprised of: a. Canadian Rocky Mountains Ecoregional Assessment Data - Priority Conservation Areas. This data is access restricted. Information on the assessment, including report, maps and data can be accessed at: (http://www.waconservation.org/ecoCanadianRockies.shtml) b. Columbia Plateau Ecoregional Assessment Data - Priority Conservation Areas. This data is access restricted. Information on the assessment, including the report, maps and data can be accessed at: (http://www.waconservation.org/ecoColumbiaPlateau.shtml) c. Middle Rockies - Blue Mountains Ecoregional Assessment Data - Conservation Areas. The assessment report and data can be accessed at: (http://www.waconservation.org/ecoBlueMountains.shtml) d. Utah - Wyoming Rocky Mountains Ecoregional Assessment Data - Conservation Areas. The assessment report can be accessed at: (http://www.conservationgateway.org/Pages/default.aspx) The metadata for Conservation Area datasets describes them as: These data describe the priority areas for conserving imperiled species and functioning ecosystems. These extraordinary places are all part of a common "ecoregion", sharing similar climate, geologic historic, landforms, and native species. Resources for conservation in these ecoregions are limited, urban areas are expanding, and an extraordinary heritage of native species and ecosystems is at risk. This assessment is intended to help conservation agencies, planners, and organizations direct their resources to the most important places for conservation. It describes a "portfolio" of priority conservation areas which are 1) of exceptional biological value and 2) the most likely places for conservation to succeed based on their current condition, land use, and other factors. Most importantly, this portfolio captures as much of the biodiversity of the ecoregion as possible, ensuring that each local site contributes to an ecoregion-wide strategy for conservation. While all identified conservation areas are considered priority, these area within the first two datasets (a. and b.) were further refined to include those which are most important and/or at highest risk. Because datasets c. and d. did not further prioritize conservation areas, there may be more identified conservation areas relative to the other two. For this reason, all areas were combined, converted to a 30m raster grid. Pixels were classified with a value of 3 if they were a conservation or high conservation area per the datasets used, and 0 if they did not. 4. Federally Listed Threatened and Endangered Species, from the Idaho Conservation Data Center, Idaho Department of Fish and Game-from 2007. The occurrences represent Federally Listed Threatened and Endangered in Idaho. This spatial coverage and the occurrences contained in it are not a public record. Data were converted to 30m raster pixels, and classified with a 1 if a T&E species exists, and 0 if not. These species are listed at the end of this document. Final Relative Benefit to Wildlife and Biodiversity map: The four layers listed above were added together and reclassified by natural breaks into five classes indicating low to high relative benefit to Wildlife and Biodiversity. Species listed in Idaho based on published population data Notes: This report shows the species listed in this state according to the Federal Register listing description. This list does not include experimental populations and similarity of appearance listings. This list includes species or populations under the sole jurisdiction of the National Marine Fisheries Service. Listed species (based on published population data) -- 22 listings Animals -- 18 listings Species/Listing Name T Bear, grizzly lower 48 States, except where listed as an experimental population or delisted (Ursus arctos horribilis) E Caribou, woodland Selkirk Mountain population (Rangifer tarandus caribou) E Curlew, Eskimo (Numenius borealis) E Limpet, Banbury Springs (Lanx sp.) T Lynx, Canada lower 48 States DPS (Lynx canadensis) E Rabbit, pygmy Columbia Basin DPS (Brachylagus idahoensis) T Salmon, chinook fall Snake R. (Oncorhynchus (=Salmo) tshawytscha) T Salmon, chinook spring/summer Snake R. (Oncorhynchus (=Salmo) tshawytscha) E Salmon, sockeye U.S.A. (Snake River, ID stock wherever found.) (Oncorhynchus (=Salmo) nerka) T Snail, Bliss Rapids (Taylorconcha serpenticola) E Snail, Snake River physa (Physa natricina) E Snail, Utah valvata (Valvata utahensis) E Springsnail, Bruneau Hot (Pyrgulopsis bruneauensis) T Squirrel, northern Idaho ground (Spermophilus brunneus brunneus) T Steelhead Snake R. Basin (Oncorhynchus (=Salmo) mykiss) E Sturgeon, white U.S.A. (ID, MT), Canada (B.C.), Kootenai R. system (Acipenser transmontanus) T Trout, bull U.S.A., conterminous, lower 48 states (Salvelinus confluentus) E Wolf, gray Lower 48 States, except where delisted and where EXPN. Mexico. (Canis lupus) Plants -- 4 listings Species/Listing Name T Catchfly, Spalding's (Silene spaldingii) T Four-o'clock, MacFarlane's (Mirabilis macfarlanei) T Howellia, water (Howellia aquatilis) T Ladies'-tresses, Ute (Spiranthes diluvialis) Last updated: June 19, 2009 Idaho Statewide Assessment of Forest Resources document contains additional information and can be found at: http://cloud.insideidaho.org/data/idl/safr/reports/2_ID_SAFR_Final_061410.pdf.
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US Census Bureau American Community Survey (ACS) data summarizing Valley County Census Tracts by population, housing, owner vs renter occupied homes, age, disabilities, access to services (i.e. health insurance, smartphone, internet, vehicles), income, occupation, earnings based on gender, poverty and child well-being statistics.This dashboard is connected to the following map: Population Density & Statistics - Overview (arcgis.com)