20 datasets found
  1. a

    CD0051

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Oct 25, 2021
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    Arizona Independent Redistricting Commission (2021). CD0051 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/irc-az::cd0051
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    Dataset updated
    Oct 25, 2021
    Dataset authored and provided by
    Arizona Independent Redistricting Commission
    Area covered
    Description

    Plan submitted by: WBeard on 10/21/2021 USER DESCRIPTION: The areas of Arizona City/Eloy and South Casa Grande have a greater community of interest being in the same district as Marana (CD 6 on map) than with Yuma. The population balance is created by adjusting the amount of the City of Tucson within CD 7 on this map. USER PLAN OBJECTIVE: The area east of Tohono reservation in Pinal County (ELoy/S Casa Grande/AZ City) have more in common with Marana than with Yuma. Population balanced in City of Tucson. Maintains more communities of interest and doesn't affect VRA requirements.

  2. Arizona Demographics Viewer

    • azgeo-data-hub-agic.hub.arcgis.com
    Updated Nov 15, 2012
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    Maricopa Association of Governments (2012). Arizona Demographics Viewer [Dataset]. https://azgeo-data-hub-agic.hub.arcgis.com/datasets/AZMAG::arizona-demographics-viewer
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    Dataset updated
    Nov 15, 2012
    Dataset authored and provided by
    Maricopa Association of Governments
    Area covered
    Description

    This map viewer presents select topics from Census 2010 and the most recent American Community Survey (ACS) for Arizona. ACS data in this viewer is updated on an annual basis as new 5-year estimates are released.

  3. c

    Yuma Myotis Range - CWHR M023 [ds1819]

    • s.cnmilf.com
    • data.cnra.ca.gov
    • +5more
    Updated Nov 27, 2024
    + more versions
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    California Department of Fish and Wildlife (2024). Yuma Myotis Range - CWHR M023 [ds1819] [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/yuma-myotis-range-cwhr-m023-ds1819-855ab
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Fish and Wildlife
    Description

    Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

  4. a

    Arizona Schools

    • hub.arcgis.com
    • azgeo-open-data-agic.hub.arcgis.com
    • +1more
    Updated Jun 11, 2021
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    Maricopa Association of Governments (2021). Arizona Schools [Dataset]. https://hub.arcgis.com/maps/AZMAG::arizona-schools
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    Dataset updated
    Jun 11, 2021
    Dataset authored and provided by
    Maricopa Association of Governments
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    This data set is a general reference for schools or "learning sites" in Arizona. It represents schools from the AZ Department of Education, both public schools and charter schools. -- updated for the 2025-2026 school year.

  5. w

    Zoning Districts, esri.GISDBA.Zoning_Boundary - Represents all zoning...

    • data.wu.ac.at
    • datadiscoverystudio.org
    Updated Aug 19, 2017
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    NSGIC Local Govt | GIS Inventory (2017). Zoning Districts, esri.GISDBA.Zoning_Boundary - Represents all zoning boundaries within the City of Yuma., Published in 2010, 1:1200 (1in=100ft) scale, City of Yuma Government. [Dataset]. https://data.wu.ac.at/schema/data_gov/NDM3MzJiYjItYWZiOS00MTAyLTkwNDEtYWZkZTBlNGEyMmQy
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    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC Local Govt | GIS Inventory
    Area covered
    Yuma, 2c317dc2f611bd04d7d1808c6a1c247efc7095a7
    Description

    Zoning Districts dataset current as of 2010. esri.GISDBA.Zoning_Boundary - Represents all zoning boundaries within the City of Yuma..

  6. California School Sites

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Dec 19, 2022
    + more versions
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    California Department of Education (2022). California School Sites [Dataset]. https://koordinates.com/layer/111499-california-school-sites/
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    kml, csv, mapinfo tab, shapefile, pdf, geopackage / sqlite, mapinfo mif, geodatabase, dwgAvailable download formats
    Dataset updated
    Dec 19, 2022
    Dataset authored and provided by
    California Department of Educationhttps://www.cde.ca.gov/
    Area covered
    Description

    Geospatial data about California School Sites. Export to CAD, GIS, PDF, CSV and access via API.

  7. K

    California Places of Worship

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 5, 2018
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    State of California (2018). California Places of Worship [Dataset]. https://koordinates.com/layer/96067-california-places-of-worship/
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    mapinfo mif, mapinfo tab, geodatabase, pdf, geopackage / sqlite, dwg, csv, kml, shapefileAvailable download formats
    Dataset updated
    Sep 5, 2018
    Dataset authored and provided by
    State of California
    Area covered
    Description

    Geospatial data about California Places of Worship. Export to CAD, GIS, PDF, CSV and access via API.

  8. K

    California Tribal Boundaries

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 5, 2018
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    State of California (2018). California Tribal Boundaries [Dataset]. https://koordinates.com/layer/96041-california-tribal-boundaries/
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    mapinfo tab, kml, geodatabase, pdf, csv, dwg, geopackage / sqlite, mapinfo mif, shapefileAvailable download formats
    Dataset updated
    Sep 5, 2018
    Dataset authored and provided by
    State of California
    Area covered
    Description

    Geospatial data about California Tribal Boundaries. Export to CAD, GIS, PDF, CSV and access via API.

  9. w

    Parcels and Land Ownership, Published in 2009, 1:9600 (1in=800ft) scale,...

    • data.wu.ac.at
    Updated Aug 19, 2017
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    NSGIC Local Govt | GIS Inventory (2017). Parcels and Land Ownership, Published in 2009, 1:9600 (1in=800ft) scale, Yuma County Government. [Dataset]. https://data.wu.ac.at/schema/data_gov/ZTMyYzk3NzgtMzQ2YS00YzI4LWIyZWYtYzE5MjI5MWQyNzJk
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    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC Local Govt | GIS Inventory
    Area covered
    44152d7268242c9923e81f16c6856adaf28fcefd
    Description

    Parcels and Land Ownership dataset current as of 2009.

  10. K

    California Schools Population Density

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Dec 19, 2022
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    California Department of Education (2022). California Schools Population Density [Dataset]. https://koordinates.com/layer/111495-california-schools-population-density/
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    geopackage / sqlite, shapefile, geodatabase, mapinfo tab, dwg, pdf, csv, kml, mapinfo mifAvailable download formats
    Dataset updated
    Dec 19, 2022
    Dataset authored and provided by
    California Department of Education
    Area covered
    Description

    Geospatial data about California Schools Population Density. Export to CAD, GIS, PDF, CSV and access via API.

  11. g

    Yuma Myotis Predicted Habitat - CWHR M023 [ds2482]

    • gimi9.com
    • data.cnra.ca.gov
    • +3more
    Updated Dec 7, 2024
    + more versions
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    (2024). Yuma Myotis Predicted Habitat - CWHR M023 [ds2482] [Dataset]. https://gimi9.com/dataset/data-gov_yuma-myotis-predicted-habitat-cwhr-m023-ds2482-55ec2
    Explore at:
    Dataset updated
    Dec 7, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

  12. K

    California Broadband Fixed Consumer Deployment

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Dec 19, 2022
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    California Department of Education (2022). California Broadband Fixed Consumer Deployment [Dataset]. https://koordinates.com/layer/111492-california-broadband-fixed-consumer-deployment/
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    pdf, mapinfo tab, mapinfo mif, csv, geopackage / sqlite, kml, geodatabase, shapefile, dwgAvailable download formats
    Dataset updated
    Dec 19, 2022
    Dataset authored and provided by
    California Department of Education
    Area covered
    Description

    Geospatial data about California Broadband Fixed Consumer Deployment. Export to CAD, GIS, PDF, CSV and access via API.

  13. a

    50' Contour Lines -Yuma County

    • azgeo-open-data-agic.hub.arcgis.com
    Updated Mar 5, 2022
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    AZGeo Data Hub (2022). 50' Contour Lines -Yuma County [Dataset]. https://azgeo-open-data-agic.hub.arcgis.com/datasets/azgeo::50-contour-lines-yuma-county
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    Dataset updated
    Mar 5, 2022
    Dataset authored and provided by
    AZGeo Data Hub
    Area covered
    Description

    This dataset consists of a shapefile representing 50 foot contour intervals for Santa Cruz County, Arizona. Datasets are also available for 100', 250', and 500' intervals. Each file covers an Arizona county or part of a county and as a collection covers the entire state. The data were created by processing hillshade TIF files derived from the U.S. Geological Survey National Elevation Dataset. The processing produced ESRI formatted coverages for each county or part of a county. The U.S. Geological Survey has developed a National Elevation Dataset (NED). The NED is a seamless mosaic of best-available elevation data. The 7.5-minute elevation data for the conterminous United States are the primary initial source data. In addition to the availability of complete 7.5-minute data, efficient processing methods were developed to filter production artifacts in the existing data, convert to the NAD83 datum, edge-match, and fill slivers of missing data at quadrangle seams. One of the effects of the NED processing steps is a much-improved base of elevation data for calculating slope and hydrologic derivatives. The specifications for the NED 1 arc second and 1/3 arc second data are - Geographic coordinate system, Horizontal datum of NAD83, except for AK which is NAD27, Vertical datum of NAVD88, except for AK which is NAVD29, Z units of meters.

  14. Arizona Employer Viewer

    • azgeo-open-data-agic.hub.arcgis.com
    Updated Nov 14, 2012
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    Maricopa Association of Governments (2012). Arizona Employer Viewer [Dataset]. https://azgeo-open-data-agic.hub.arcgis.com/datasets/AZMAG::arizona-employer-viewer
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    Dataset updated
    Nov 14, 2012
    Dataset authored and provided by
    Maricopa Association of Governments
    Area covered
    Description

    This map viewer presents employment data from the MAG Employment Database. This database is compiled from commercial and public sources on an annual basis and represents an accounting of employer locations with number of employees at each location for Maricopa County, Arizona. Data presented in the viewer has been aggregated to the Census Block Group level and is for employment locations with five or more employees.

  15. K

    California Native Lands Boundaries - Reservations and Rancherias

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 5, 2018
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    State of California (2018). California Native Lands Boundaries - Reservations and Rancherias [Dataset]. https://koordinates.com/layer/96052-california-native-lands-boundaries-reservations-and-rancherias/
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    kml, shapefile, mapinfo mif, geopackage / sqlite, geodatabase, csv, mapinfo tab, dwg, pdfAvailable download formats
    Dataset updated
    Sep 5, 2018
    Dataset authored and provided by
    State of California
    Area covered
    Description

    This map depicting the boundaries of Native American reservations and rancherias as mapped by the Bureau of Indian Affairs. This map was created for the Governor's Office of the Tribal Advisor by the California Technology Agency/GIS Unit.

  16. a

    LD0077

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • redistricting-irc-az.hub.arcgis.com
    Updated Dec 9, 2021
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    Arizona Independent Redistricting Commission (2021). LD0077 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/a64b3ffc4bf340b097cc274de87cdb58
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    Dataset updated
    Dec 9, 2021
    Dataset authored and provided by
    Arizona Independent Redistricting Commission
    Area covered
    Description

    Plan submitted by: AZLatinoCoalition on 12/8/2021 USER DESCRIPTION: N/A USER PLAN OBJECTIVE: This plan adjusts the AZ Latino Coalition's Southern AZ districts from its 2.0 maps to incorporate a portion of the Yuma County split in the Yuma Gold legislative map. It also makes adjustments in Tucson to balance population and incorporate elements from Tucson Mayor Romero's letter to the IRC.

  17. a

    LD0074

    • redistricting-irc-az.hub.arcgis.com
    Updated Dec 8, 2021
    + more versions
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    Arizona Independent Redistricting Commission (2021). LD0074 [Dataset]. https://redistricting-irc-az.hub.arcgis.com/datasets/ld0074
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    Dataset updated
    Dec 8, 2021
    Dataset authored and provided by
    Arizona Independent Redistricting Commission
    Area covered
    Description

    Plan submitted by: tterry on 12/7/2021 USER DESCRIPTION: This map keeps West Valley communities together and improves our VRA districts. It unites Gila Bend, and provides a compromise to the Yuma map by providing a larger split in Yuma than the original draft map, but keeps it in the river district. USER PLAN OBJECTIVE: This map keeps West Valley communities together and improves our VRA districts. It unites Gila Bend, and provides a compromise to the Yuma map by providing a larger split in Yuma than the original draft map, but keeps it in the river district.

  18. a

    CPW Bats Shapefile Download

    • geodata-cpw.hub.arcgis.com
    Updated Oct 9, 2019
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    rsacco (2019). CPW Bats Shapefile Download [Dataset]. https://geodata-cpw.hub.arcgis.com/datasets/19bb76b0961e4810b4435fb60ff408f5
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    Dataset updated
    Oct 9, 2019
    Dataset authored and provided by
    rsacco
    Description

    Updated October, 2019 OVERALL RANGE: The area which encompasses the observed and predicted range of a population of bats in Colorado. This information was derived from Colorado Parks and Wildlife species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including areas delineated as 50% or higher predicted occupancy as modeled in MaxEnt using various Colorado bat site collection records, telemetry, historic records noted in Armstrong et al. 1994, and CPW Scientific Collection data.This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions. These data are updated as needed after review by CPW personnel and not on any regularly scheduled cycle. Files in this download include data for: ALLEN'S BIG-EARED BAT,BIG BROWN BAT,BIG FREE-TAILED BAT,BRAZILIAN FREE-TAILED BAT,CALIFORNIA MYOTIS,CANYON BAT,FRINGED MYOTIS,HOARY BAT,LITTLE BROWN MYOTIS,LONG-EARED MYOTIS,LONG-LEGGED MYOTIS,PALLID BAT,RED BAT,SILVER-HAIRED BAT,SPOTTED BAT,TOWNSEND'S BIG-EARED BAT,TRI-COLORED BAT,WESTERN SMALL-FOOTED MYOTIS,YUMA MYOTIS

  19. a

    LD0081

    • redistricting-irc-az.hub.arcgis.com
    Updated Dec 13, 2021
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    Arizona Independent Redistricting Commission (2021). LD0081 [Dataset]. https://redistricting-irc-az.hub.arcgis.com/datasets/ld0081
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    Dataset updated
    Dec 13, 2021
    Dataset authored and provided by
    Arizona Independent Redistricting Commission
    Area covered
    Description

    Plan submitted by: AZ71@22 on 12/12/2021 USER DESCRIPTION: This map is based of LD 12.0 but balances out population and communities of interest in the Tucson and southern regions. USER PLAN OBJECTIVE: PLEASE REVIEW! Based off the LD 12.0 map, this map is primarily focused on Southern AZ, however all districts are drawn logically and population balanced. It accomplishes the requests of Mehl & Lerner: MEHL: LD17 includes Saddlebrook, Red Rock & the area south of Park Link Dr in Pinal County. It also now includes Picture Rocks and keeps Marana & Oro Valley together. LERNER: LD20 now has its city line drawn down Campbell Ave in the northern part of the city then jumps to Country Club Ave (halfway between Campbell & Alvernon) following Mayor Romero's request. It also incorporates the Pascua Yaqui Tribe in LD20. LD18 includes Tanque Verde and eastern Tucson separating Vail into LD19 along with Corona de Tucson. LD21 now combines Green Valley and Sahuarita in one district which many locals requested. Unfortunately, the Latino Coalition arm into Cochise County is eliminated as there is no way to population balance in Cochise County and still keep Santa Cruz County as one. (Plus I don't think it's wise to place Bisbee, the county seat of Cochise County, into a completely different district associated with another county). This map also incorporates some of the Yuma Gold map. LD23 is population balanced and shares Yuma with LD28 that stretches into the west Phx valley area. The same as LD23 stretches from Yuma into the west valley region of Tucson.

  20. a

    CD0060

    • hub.arcgis.com
    Updated Nov 2, 2021
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    Arizona Independent Redistricting Commission (2021). CD0060 [Dataset]. https://hub.arcgis.com/maps/irc-az::cd0060
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    Dataset updated
    Nov 2, 2021
    Dataset authored and provided by
    Arizona Independent Redistricting Commission
    Area covered
    Description

    Plan submitted by: WBeard on 11/1/2021 USER DESCRIPTION: The areas including Eloy/South Casa Grande/Arizona City have more in common with the remaining parts of Pinal County than with Yuma or SW Arizona. The areas of Corona de Tucson/Green Valley and Rita Ranch have historically been associated with a SE Arizona district and should remain so. These communities of interest have more in common with SE AZ than they do with SW AZ. USER PLAN OBJECTIVE: The areas including Eloy/South Casa Grande/Arizona City have more in common with the remaining parts of Pinal County than with Yuma or SW Arizona. The areas of Corona de Tucson/Green Valley and Rita Ranch have historically been associated with a SE Arizona district and should remain so. These communities of interest have more in common with SE AZ than they do with SW AZ. Have included more areas within the City of Tucson, including the University of AZ with D7 to balance the map. This maintains competitiveness and enhances communities of interest.

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    Learn how you can add new datasets to our index.

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Arizona Independent Redistricting Commission (2021). CD0051 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/irc-az::cd0051

CD0051

Explore at:
Dataset updated
Oct 25, 2021
Dataset authored and provided by
Arizona Independent Redistricting Commission
Area covered
Description

Plan submitted by: WBeard on 10/21/2021 USER DESCRIPTION: The areas of Arizona City/Eloy and South Casa Grande have a greater community of interest being in the same district as Marana (CD 6 on map) than with Yuma. The population balance is created by adjusting the amount of the City of Tucson within CD 7 on this map. USER PLAN OBJECTIVE: The area east of Tohono reservation in Pinal County (ELoy/S Casa Grande/AZ City) have more in common with Marana than with Yuma. Population balanced in City of Tucson. Maintains more communities of interest and doesn't affect VRA requirements.

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