12 datasets found
  1. a

    Municipal Boundaries

    • gisdata-slco.opendata.arcgis.com
    • opendata.utah.gov
    • +1more
    Updated Jan 6, 2017
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    Salt Lake County (2017). Municipal Boundaries [Dataset]. https://gisdata-slco.opendata.arcgis.com/datasets/municipal-boundaries
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    Dataset updated
    Jan 6, 2017
    Dataset authored and provided by
    Salt Lake County
    Area covered
    Description

    Salt Lake County Municipal Boundaries, including Cities, Metro Townships and Unincorporated areas.Source:Salt Lake County Surveyor's Office

  2. TIGER/Line Shapefile, 2020, County, Salt Lake County, UT, All Roads

    • catalog.data.gov
    Updated Oct 13, 2021
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Publisher) (2021). TIGER/Line Shapefile, 2020, County, Salt Lake County, UT, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2020-county-salt-lake-county-ut-all-roads
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    Dataset updated
    Oct 13, 2021
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Salt Lake County, Utah
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.

  3. S

    State of Utah Acquired Lidar Data - Wasatch Front

    • portal.opentopography.org
    • otportal.sdsc.edu
    • +4more
    raster
    Updated Mar 25, 2015
    + more versions
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    OpenTopography (2015). State of Utah Acquired Lidar Data - Wasatch Front [Dataset]. http://doi.org/10.5069/G9TH8JNQ
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    rasterAvailable download formats
    Dataset updated
    Mar 25, 2015
    Dataset provided by
    OpenTopography
    Time period covered
    Oct 18, 2013 - May 31, 2014
    Area covered
    Variables measured
    Area, Unit, RasterResolution
    Dataset funded by
    Utah Division of Emergency Management
    Federal Emergency Management Agency
    U.S. Geological Survey
    Salt Lake County Surveyors Office and partner cities
    Utah Geological Survey
    Description

    The State of Utah, including the Utah Automated Geographic Reference Center, Utah Geological Survey, and the Utah Division of Emergency Management, along with local and federal partners, including Salt Lake County and local cities, the Federal Emergency Management Agency, the U.S. Geological Survey, and the U.S. Environmental Protection Agency, have funded and collected over 8380 km2 (3236 mi2) of high-resolution (0.5 or 1 meter) Lidar data across the state since 2011, in support of a diverse set of flood mapping, geologic, transportation, infrastructure, solar energy, and vegetation projects. The datasets include point cloud, first return digital surface model (DSM), and bare-earth digital terrain/elevation model (DEM) data, along with appropriate metadata (XML, project tile indexes, and area completion reports).

    This 0.5-meter 2013-2014 Wasatch Front dataset includes most of the Salt Lake and Utah Valleys (Utah), and the Wasatch (Utah and Idaho), and West Valley fault zones (Utah).

    Other recently acquired State of Utah data include the 2011 Utah Geological Survey Lidar dataset covering Cedar and Parowan Valleys, the east shore/wetlands of Great Salt Lake, the Hurricane fault zone, the west half of Ogden Valley, North Ogden, and part of the Wasatch Plateau in Utah.

  4. a

    Utah Great Salt Lake Flooding

    • hub.arcgis.com
    • opendata.gis.utah.gov
    • +1more
    Updated Nov 22, 2019
    + more versions
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    Utah Automated Geographic Reference Center (AGRC) (2019). Utah Great Salt Lake Flooding [Dataset]. https://hub.arcgis.com/datasets/utah::utah-great-salt-lake-flooding
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    Dataset updated
    Nov 22, 2019
    Dataset authored and provided by
    Utah Automated Geographic Reference Center (AGRC)
    License

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

    Area covered
    Description

    This dataset represents the Flood Plain Management Services Study (FPMS) ares, 100-Year Flood for the Great Salt Lake. The area included Salt Lake City, Davis, Weber, tooele and box elder County The information was collected by digitzing the quad maps (Salt Lake, Tooele, boxelder county) and plat maps (weber and Davis county). The digital data contain the zone boundary and shoreline boundary. The FPMS study was limited to the general area along the Salt Lake County shoreline of the Great Salt Lake Only the 100-year flood elevation was evaluated and included wind and wave action for the Great Salt Lake. This dataset is the most current digital information available.

  5. g

    EnviroAtlas - Salt Lake City, UT - BenMAP Results by Block Group | gimi9.com...

    • gimi9.com
    + more versions
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    EnviroAtlas - Salt Lake City, UT - BenMAP Results by Block Group | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_enviroatlas-salt-lake-city-ut-benmap-results-by-block-group4
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Salt Lake City, Utah
    Description

    This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 612 block groups in Salt Lake City, UT. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Salt Lake City and County, UT. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

  6. a

    Utah Great Salt Lake Shoreline Flooding

    • hub.arcgis.com
    • opendata.gis.utah.gov
    • +1more
    Updated Nov 22, 2019
    + more versions
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    Utah Automated Geographic Reference Center (AGRC) (2019). Utah Great Salt Lake Shoreline Flooding [Dataset]. https://hub.arcgis.com/maps/utah::utah-great-salt-lake-shoreline-flooding
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    Dataset updated
    Nov 22, 2019
    Dataset authored and provided by
    Utah Automated Geographic Reference Center (AGRC)
    License

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

    Area covered
    Description

    This dataset represents the Flood Plain Management Services Study (FPMS) ares, 100-Year Flood for the Great Salt Lake. The area included Salt Lake City, Davis, Weber, tooele and box elder County The information was collected by digitzing the quad maps (Salt Lake, Tooele, boxelder county) and plate maps (weber and Davis county). The digital data contain the zone boundary and shoreline boundary. The FPMS study was limited to the general area along the Salt Lake County shoreline of the Great Salt Lake Only the 100-year flood elevation was evaluated and included wind and wave action for the Great Salt Lake. This dataset is the most current digital information available.

  7. u

    Utah Address System Quadrants

    • opendata.gis.utah.gov
    • sgid-utah.opendata.arcgis.com
    • +1more
    Updated Aug 10, 2016
    + more versions
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    Utah Automated Geographic Reference Center (AGRC) (2016). Utah Address System Quadrants [Dataset]. https://opendata.gis.utah.gov/maps/utah-address-system-quadrants
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    Dataset updated
    Aug 10, 2016
    Dataset authored and provided by
    Utah Automated Geographic Reference Center (AGRC)
    License

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

    Area covered
    Description

    Last update: April 4, 2023Added the Mammoth address system in Juab county. Additional minor edits to account for annexations in Utah (Springville, Lehi) and Box Elder (Willard, Garland) counties, April 2023.Added several address grids in Beaver county (Elk Meadows, Ponderosa, Greenville, Adamsville, Sulphurdale). Made major updates to grids in Utah, Cache, Tooele, and Box Elder Counties. Renamed 'NSL' to 'North Salt Lake' and 'East Carbon City' to 'East Carbon', December 2022. Minor adjustment to quadrants in Bluff.Added Rocky Ridge address grid in northern Juab county, August 2022.Updates were made near Elsinore/Central Valley/Monroe corners due to recent Elsinore annexation and inputs from Sevier County, September 2021.Improvements were made to Brigham City, Millville, Logan, and Providence, February 2016.Improvements were made to the Heber, Hyde Park, Logan, and Woodland address system boundaries; updated the American Fork, Fielding, Payson, and Saratoga Springs address system boundaries to reflect recent annexations, January 2016Improvements were made to the Hyde Park and Logan address system boundary, November 2015Improvements were made to the Hyrum and Logan address system boundary, November 2015Updated the American Fork address system boundary to reflect recent annexations, October 2015Improvements were made to the Brigham City, Fishlake, Fremont, Garland, Loa, Lyman, Mantua, Tremonton, and Willard address system boundaries; updated the Lehi and Santa Clara address system boundaries to reflect recent annexations, August 2015Improvements were made to the Price and Wellington address system boundaries; updated the Lehi and Provo address system boundaries to reflect recent annexations, July 2015Improvements were made to the Layton and HAFB address system boundaries; updated the Provo and Spanish Fork address system boundaries to reflect recent annexations, June 2015Updated address system boundaries to reflect annexations in Lehi, Lewiston, and Snowville, May 2015Improvements were made to the Orderville address system boundary to match the municipal boundary, February 2015Updated address system boundaries to match annexations in American Fork, Farmington, Elk Ridge, Grantsville, Lehi, Mendon, Mount Pleasant, Payson, Provo, Spanish Fork, and Washington, January 2015 Improvements were made to the Elmo and Cleveland address system boundaries, December 2014Improvements were made to the Wellington address system boundaries, July 2014Improvements were made to the NSL (North Salt Lake) and Bountiful address system boundaries, June 2014.Changed address system name East Carbon-Sunnyside to East Carbon City, May 2014Updated address system boundaries to match annexations in northern Utah County; misc improvements in Davis County; adjusted Laketown/Garden City boundary, April 2014Merged East Carbon and Sunnyside to create the East Carbon-Sunnyside address system, February 2014.Improvements were made to the Iron County address system quadrant boundaries and topological errors were corrected statewide, January 2014. Improvements were made to Garfield County and Washington County address system quadrant boundaries, August 2013.More information can be found on the UGRC data page for this layer:https://gis.utah.gov/data/location/address-data/

  8. w

    Counties

    • data.wfrc.org
    Updated Feb 10, 2023
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    Wasatch Front Regional Council (2023). Counties [Dataset]. https://data.wfrc.org/datasets/counties
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    Dataset updated
    Feb 10, 2023
    Dataset authored and provided by
    Wasatch Front Regional Council
    Area covered
    Description

    The LEHD Origin Destination Employment Statistics (LODES) dataset is updated annually by the Census Bureau in partnership with the IRS.The LODES dataset provides information on the location and characteristics of every job in the United States that is covered by unemployment insurance.The data shown in for the year 2019, the most current year at the time this map was produced.Layers KeyNumber: Number of PeoplePercent Selected Area: Share of each area (city/township)Percent Map Unit: Share within each map unit (city, small district, tract, block group) as declared in layer nameColumn descriptions: [CODE3]_h: Home Location of those who work in [Map Unit][CODE3]_w: Work Location of those who live in [Map Unit]City/Township Codes are as follows:SHORTDESCCODE3AMERICAN FORKAFKALTAALAALPINEALPBLUFFDALEBDLBRIGHAM CITYBGMBOUNTIFULBNTBRIGHTONBRTCEDAR FORTCDFCENTERVILLECENCHARLESTONCHACEDAR HILLSCHLCLEARFIELDCLFCLINTONCLICOPPERTON METRO TOWNSHIPCMTCOALVILLECOACOTTONWOOD HEIGHTSCWHDANIELDANDRAPER CITYDRAEAGLE MOUNTAINEAGELK RIDGEELKEMIGRATION CANYON METRO TOWNSHIPEMTFARMINGTONFARFRANCISFCSFAIRFIELDFFDFARR WEST CITYFRRFRUIT HEIGHTSFTHGENOLAGLAGOSHENGOSGRANTSVILLEGRLHARRISVILLEHARHIDEOUT (SUMMIT)HDTHIDEOUT (WASATCH)HDTHEBER CITYHEBHERRIMAN TOWNHERHIGHLANDHGHHENEFERHNFCITY OF HOLLADAYHOLHOOPERHOOHUNTSVILLEHVLINDEPENDENCEINDINTERLAKEN TOWNINTKAYSVILLEKAYKAMASKMSKEARNS METRO TOWNSHIPKMTLAYTONLAYLEHILEHLINDONLINMAPLETONMAPMIDVALEMIDMILLCREEKMLCMAGNA METRO TOWNSHIPMMTMORGANMRGMARRIOTT-SLATERVILLE CITYMSLMURRAYMURMIDWAYMWYNORTH OGDEN CITYNOGCITY OF NORTH SALT LAKENSLOGDEN CITYOGDOAKLEYOKLOREMORMPAYSONPAYPLEASANT GROVEPGRPLAIN CITYPLNPARK CITYPRKPERRY CITYPRYPROVOPVOPLEASANT VIEWPVWROY CITYROYRIVERDALERVDRIVERTONRVTSANDY CITYSANSANTAQUIN CITY (UTAH CO)SAQSARATOGA SPRINGSSARSPANISH FORKSFKSOUTH JORDANSJCSALT LAKE CITYSLCSALEMSLMSOUTH OGDENSOGSPRINGVILLESPVSOUTH SALT LAKE CITYSSLSUNSETSUNSOUTH WEBERSWESYRACUSESYRTAYLORSVILLE CITYTAYTOOELETOOUINTAHUINVINEYARDVINWASHINGTON TERRACEWATWALLSBURGWBGWOODLAND HILLSWDLWEST BOUNTIFULWEBWHITE CITY METRO TOWNSHIPWHTWEST HAVENWHVWILLARD CITYWILWEST JORDAN CITYWJCWEST POINTWPTWEST VALLEY CITYWVCWOODS CROSS CITYWXC

  9. a

    Waterways

    • gisdata-slco.opendata.arcgis.com
    • opendata.utah.gov
    • +1more
    Updated Nov 1, 2016
    + more versions
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    Salt Lake County (2016). Waterways [Dataset]. https://gisdata-slco.opendata.arcgis.com/datasets/7019d54d2dd14609aa2603b114e220e0
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    Dataset updated
    Nov 1, 2016
    Dataset authored and provided by
    Salt Lake County
    Area covered
    Description

    This data represents the waterways of Salt Lake County, including streams, rivers, canals, drains and ditches. The data indicates Designated Salt Lake County Flood Control Facilities as per County Ordinance Chapter 17.08.04 Permits are required, but not limited to, these specific canals, drains, ditches and streams. The data is accurate for identifying the general location of these facilities. For specific information about permits, contact the Flood Control Permit Coordinator in the Engineering Division. Addition, the waterways layer will have non ordinace facilites for general and historical purposes.The valley streams were originally digitized from 6-inch color aerial photgraphy 2009 and 2010. Tree canopy obscured some reaches and are less accurate in those cases. Mountain streams were originally digitized from the 2006 NAIP and has been since updated with 1-foot pixel color aerial photography in 2010, available mosty for the lower canyon areas. In 2011, the data has been updated with high-resolution alignment adjustments at 1:1000 to 1:2000 scale, using 2010 aerial imagery, 2009 LIDAR, historical flood control plans from 1983 and 1986. In 2013, the data has been updated with high resolution 2012 aerial imagery and the waterways was realigned at 1:600 to 1:1000 scale.

  10. u

    Utah Cities by Population

    • utah-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Utah Cities by Population [Dataset]. https://www.utah-demographics.com/cities_by_population
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.utah-demographics.com/terms_and_conditionshttps://www.utah-demographics.com/terms_and_conditions

    Description

    A dataset listing Utah cities by population for 2024.

  11. Master Of M V Salt Lake City C O Ag Company profile with phone,email,...

    • volza.com
    csv
    Updated May 30, 2025
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    Volza FZ LLC (2025). Master Of M V Salt Lake City C O Ag Company profile with phone,email, buyers, suppliers, price, export import shipments. [Dataset]. https://www.volza.com/company-profile/master-of-m-v-salt-lake-city-c-o-ag-20182735
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    csvAvailable download formats
    Dataset updated
    May 30, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Time period covered
    2014 - Sep 30, 2021
    Area covered
    Salt Lake City
    Variables measured
    Count of exporters, Count of importers, Sum of export value, Sum of import value, Count of export shipments, Count of import shipments
    Description

    Credit report of Master Of M V Salt Lake City C O Ag contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

  12. Home Owners' Loan Corporation (HOLC) Neighborhood Redlining Grade

    • gis-for-racialequity.hub.arcgis.com
    • cityscapes-projects-gisanddata.hub.arcgis.com
    Updated Jul 24, 2020
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    Urban Observatory by Esri (2020). Home Owners' Loan Corporation (HOLC) Neighborhood Redlining Grade [Dataset]. https://gis-for-racialequity.hub.arcgis.com/maps/063cdb28dd3a449b92bc04f904256f62
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    Dataset updated
    Jul 24, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    The Home Owners' Loan Corporation (HOLC) was created in the New Deal Era and trained many home appraisers in the 1930s. The HOLC created a neighborhood ranking system infamously known today as redlining. Local real estate developers and appraisers in over 200 cities assigned grades to residential neighborhoods. These maps and neighborhood ratings set the rules for decades of real estate practices. The grades ranged from A to D. A was traditionally colored in green, B was traditionally colored in blue, C was traditionally colored in yellow, and D was traditionally colored in red. A (Best): Always upper- or upper-middle-class White neighborhoods that HOLC defined as posing minimal risk for banks and other mortgage lenders, as they were "ethnically homogeneous" and had room to be further developed.B (Still Desirable): Generally nearly or completely White, U.S. -born neighborhoods that HOLC defined as "still desirable" and sound investments for mortgage lenders.C (Declining): Areas where the residents were often working-class and/or first or second generation immigrants from Europe. These areas often lacked utilities and were characterized by older building stock.D (Hazardous): Areas here often received this grade because they were "infiltrated" with "undesirable populations" such as Jewish, Asian, Mexican, and Black families. These areas were more likely to be close to industrial areas and to have older housing.Banks received federal backing to lend money for mortgages based on these grades. Many banks simply refused to lend to areas with the lowest grade, making it impossible for people in many areas to become homeowners. While this type of neighborhood classification is no longer legal thanks to the Fair Housing Act of 1968 (which was passed in large part due to the activism and work of the NAACP and other groups), the effects of disinvestment due to redlining are still observable today. For example, the health and wealth of neighborhoods in Chicago today can be traced back to redlining (Chicago Tribune). In addition to formerly redlined neighborhoods having fewer resources such as quality schools, access to fresh foods, and health care facilities, new research from the Science Museum of Virginia finds a link between urban heat islands and redlining (Hoffman, et al., 2020). This layer comes out of that work, specifically from University of Richmond's Digital Scholarship Lab. More information on sources and digitization process can be found on the Data and Download and About pages. NOTE: This map has been updated as of 1/16/24 to use a newer version of the data layer which contains more cities than it previously did. As mentioned above, over 200 cities were redlined and therefore this is not a complete dataset of every city that experienced redlining by the HOLC in the 1930s. Map opens in Sacramento, CA. Use bookmarks or the search bar to get to other cities.Cities included in this mapAlabama: Birmingham, Mobile, MontgomeryArizona: PhoenixArkansas: Arkadelphia, Batesville, Camden, Conway, El Dorado, Fort Smith, Little Rock, Russellville, TexarkanaCalifornia: Fresno, Los Angeles, Oakland, Sacramento, San Diego, San Francisco, San Jose, StocktonColorado: Boulder, Colorado Springs, Denver, Fort Collins, Fort Morgan, Grand Junction, Greeley, Longmont, PuebloConnecticut: Bridgeport and Fairfield; Hartford; New Britain; New Haven; Stamford, Darien, and New Canaan; WaterburyFlorida: Crestview, Daytona Beach, DeFuniak Springs, DeLand, Jacksonville, Miami, New Smyrna, Orlando, Pensacola, St. Petersburg, TampaGeorgia: Atlanta, Augusta, Columbus, Macon, SavannahIowa: Boone, Cedar Rapids, Council Bluffs, Davenport, Des Moines, Dubuque, Sioux City, WaterlooIllinois: Aurora, Chicago, Decatur, East St. Louis, Joliet, Peoria, Rockford, SpringfieldIndiana: Evansville, Fort Wayne, Indianapolis, Lake County Gary, Muncie, South Bend, Terre HauteKansas: Atchison, Greater Kansas City, Junction City, Topeka, WichitaKentucky: Covington, Lexington, LouisvilleLouisiana: New Orleans, ShreveportMaine: Augusta, Boothbay, Portland, Sanford, WatervilleMaryland: BaltimoreMassachusetts: Arlington, Belmont, Boston, Braintree, Brockton, Brookline, Cambridge, Chelsea, Dedham, Everett, Fall River, Fitchburg, Haverhill, Holyoke Chicopee, Lawrence, Lexington, Lowell, Lynn, Malden, Medford, Melrose, Milton, Needham, New Bedford, Newton, Pittsfield, Quincy, Revere, Salem, Saugus, Somerville, Springfield, Waltham, Watertown, Winchester, Winthrop, WorcesterMichigan: Battle Creek, Bay City, Detroit, Flint, Grand Rapids, Jackson, Kalamazoo, Lansing, Muskegon, Pontiac, Saginaw, ToledoMinnesota: Austin, Duluth, Mankato, Minneapolis, Rochester, Staples, St. Cloud, St. PaulMississippi: JacksonMissouri: Cape Girardeau, Carthage, Greater Kansas City, Joplin, Springfield, St. Joseph, St. LouisNorth Carolina: Asheville, Charlotte, Durham, Elizabeth City, Fayetteville, Goldsboro, Greensboro, Hendersonville, High Point, New Bern, Rocky Mount, Statesville, Winston-SalemNorth Dakota: Fargo, Grand Forks, Minot, WillistonNebraska: Lincoln, OmahaNew Hampshire: ManchesterNew Jersey: Atlantic City, Bergen County, Camden, Essex County, Monmouth, Passaic County, Perth Amboy, Trenton, Union CountyNew York: Albany, Binghamton/Johnson City, Bronx, Brooklyn, Buffalo, Elmira, Jamestown, Lower Westchester County, Manhattan, Niagara Falls, Poughkeepsie, Queens, Rochester, Schenectady, Staten Island, Syracuse, Troy, UticaOhio: Akron, Canton, Cleveland, Columbus, Dayton, Hamilton, Lima, Lorain, Portsmouth, Springfield, Toledo, Warren, YoungstownOklahoma: Ada, Alva, Enid, Miami Ottawa County, Muskogee, Norman, Oklahoma City, South McAlester, TulsaOregon: PortlandPennsylvania: Allentown, Altoona, Bethlehem, Chester, Erie, Harrisburg, Johnstown, Lancaster, McKeesport, New Castle, Philadelphia, Pittsburgh, Wilkes-Barre, YorkRhode Island: Pawtucket & Central Falls, Providence, WoonsocketSouth Carolina: Aiken, Charleston, Columbia, Greater Anderson, Greater Greensville, Orangeburg, Rock Hill, Spartanburg, SumterSouth Dakota: Aberdeen, Huron, Milbank, Mitchell, Rapid City, Sioux Falls, Vermillion, WatertownTennessee: Chattanooga, Elizabethton, Erwin, Greenville, Johnson City, Knoxville, Memphis, NashvilleTexas: Amarillo, Austin, Beaumont, Dallas, El Paso, Forth Worth, Galveston, Houston, Port Arthur, San Antonio, Waco, Wichita FallsUtah: Ogden, Salt Lake CityVirginia: Bristol, Danville, Harrisonburg, Lynchburg, Newport News, Norfolk, Petersburg, Phoebus, Richmond, Roanoke, StauntonVermont: Bennington, Brattleboro, Burlington, Montpelier, Newport City, Poultney, Rutland, Springfield, St. Albans, St. Johnsbury, WindsorWashington: Seattle, Spokane, TacomaWisconsin: Kenosha, Madison, Milwaukee County, Oshkosh, RacineWest Virginia: Charleston, Huntington, WheelingAn example of a map produced by the HOLC of Philadelphia:

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Salt Lake County (2017). Municipal Boundaries [Dataset]. https://gisdata-slco.opendata.arcgis.com/datasets/municipal-boundaries

Municipal Boundaries

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 6, 2017
Dataset authored and provided by
Salt Lake County
Area covered
Description

Salt Lake County Municipal Boundaries, including Cities, Metro Townships and Unincorporated areas.Source:Salt Lake County Surveyor's Office

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