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

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.

This EnviroAtlas dataset shows the Salt Lake City, UT EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced by the US EPA 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).

This dataset represents an ongoing effort to approximate the geographic extents of 5 digit zip codes. The dataset was produced using a combination of methods and is based on several sets of source data. Methods include: 1) using local zip code polygon data obtained from counties and cities contained within these counties; 2) Identifying place locations (city, town, places) from the postal service website and address information system (AIS) and as a last result, building theissen polygons around usps places in unpopulated areas; and 3) editing line work using the 2000 Census TIGER line file's zip code attributes. In addition, AGRC has used the locations of mailing addresses known to be valid to fine tune this dataset.

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

This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. In this community, green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA 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).

This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA 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).

This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA 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).

This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA 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).

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.

This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA 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).

This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. In this community, green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA 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).

This EnviroAtlas dataset presents environmental benefits of the urban forest in 612 block groups in Salt Lake City, UT. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary 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).

This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA 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).

This raster layer canopy closure information for the Northern Tongass project area, prepared for the Northern portion of the Tongass National Forest to provide up-to-date and more complete information about vegetative communities, structure, and patterns across the Forest. Approximately 11.8 million acres, 8.6 million acres of which are terrestrial and inland waterbodies and rivers, were mapped through a partnership between the Geospatial Office (GO), Tongass National Forest, and the Alaska Regional Office. The Tongass National Forest and their partners prepared the regional classification system, identified the desired map units (map classes) and provided general project guidance. GO provided project support and expertise in vegetation mapping.The modeling units (mapping polygons) were characterized with the following vegetation attributes: 1) map group, 2) vegetation type, 3) tree canopy cover percent, 4) tree canopy cover class, 5) tree size class, 6) change percent, 7) change year, 8) biomass for trees ≥ 2” dbh, 9) crown competition factor, 10) gross board feet (GBF) for trees ≥ 9” dbh, 11) quadratic mean diameter (QMD) for trees ≥ 2” dbh, 12) quadratic mean diameter for trees ≥ 9” dbh, 13) rumple index, 14) stand density index (SDI) for trees ≥ 9” dbh, 15) trees per acre (TPA) for trees ≥ 1’ tall, 16) trees per acre for trees ≥ 6” diameter at breast height (dbh), and 17) acres. The minimum map feature depicted on the map is 0.25 acres. This map product was generated using imagery primarily acquired between 2020 – 2024, reference information collected in the summers of 2023 – 2024, and LiDAR data flown in 2015. Every effort was taken to ensure consistency in the final products and these can be considered indicative of the existing vegetation conditions found within the project boundary during the growing season of 2024. All map products were designed according to National Forest Service vegetation mapping standards and are stored in federal databases. For more detailed information on mapping methodology please see the Central and Northern Tongass Vegetation Mapping Report:Central and Northern Tongass Vegetation Mapping Report (in progress): Dangerfield, C.; Bellante, G.; Foss, J.; Lund, A.; Caster, A.; Mohatt, K.; Homan, K.; Wittwer, D.; Johnson, T.; Goetz, W.; Moody, R.; Vernier, M.; Hemingway, B.; Achtenhagen, A.; Ryerson, D.; Megown, K.. 2025. Tongass National Forest Existing Vegetation Map. Salt Lake City, UT. In progress.

Local and National Historic Sites in Salt Lake City

The National Agriculture Imagery Program (NAIP) is a federal program which acquires aerial imagery during the agricultural growing seasons in the continental U.S. A primary goal of the NAIP program is to make digital ortho photography available to governmental agencies and the public within a year of acquisition. NAIP projects are contracted each year based upon available funding and the FSA imagery acquisition cycle. Beginning in 2003, NAIP was acquired on a 5-year cycle. 2008 was a transition year, and a three-year cycle began in 2009. Use the following link for an interactive status map of NAIP acquisitions from 2002 - 2023: https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/NAIP is administered by the USDA's Farm Service Agency (FSA) through the Aerial Photography Field Office in Salt Lake City. This "leaf-on" imagery is used as a base layer for GIS programs in FSA's County Service Centers, and is used to maintain the Common Land Unit (CLU) boundaries.

This raster layer trees per acre information for the Tongass project area, prepared for the Tongass National Forest to provide up-to-date and more complete information about vegetative communities, structure, and patterns across the Forest. Approximately 26 million acres, 18.2 million acres of which are terrestrial, including inland waterbodies and rivers, were mapped through a partnership between the Geospatial Office (GO), Tongass National Forest, and the Alaska Regional Office. The Tongass National Forest and their partners prepared the regional classification system, identified the desired map units (map classes) and provided general project guidance. GO provided project support and expertise in vegetation mapping.The modeling units (mapping polygons) were characterized with the following vegetation attributes: 1) map group, 2) vegetation type, 3) tree canopy cover percent, 4) tree canopy cover class, 5) tree size class, 6) change percent, 7) change year, 8) biomass for trees ≥ 2” dbh, 9) crown competition factor, 10) gross board feet (GBF) for trees ≥ 9” dbh, 11) quadratic mean diameter (QMD) for trees ≥ 2” dbh, 12) quadratic mean diameter for trees ≥ 9” dbh, 13) rumple index, 14) stand density index (SDI) for trees ≥ 9” dbh, 15) trees per acre (TPA) for trees ≥ 1’ tall, 16) trees per acre for trees ≥ 6” diameter at breast height (dbh), and 17) acres. The minimum map feature depicted on the map is 0.25 acres. This map product was generated using imagery primarily acquired between 2020 – 2024, reference information collected in the summers of 2023 – 2024, and LiDAR data flown in 2015. Every effort was taken to ensure consistency in the final products and these can be considered indicative of the existing vegetation conditions found within the project boundary during the growing season of 2024. All map products were designed according to National Forest Service vegetation mapping standards and are stored in federal databases. For more detailed information on mapping methodology please see the Tongass-Wide Vegetation Mapping Report: Tongass-Wide Vegetation Mapping Report (in progress): Bellante, G.; Dangerfield, C.; Foss, J.; Lund, A.; Caster, A.; Mohatt, K.; Homan, K.; Wittwer, D.; Johnson, T.; Goetz, W.; Moody, R.; Vernier, M.; Hemingway, B.; Achtenhagen, A.; Ryerson, D.; Megown, K.. 2025. Tongass National Forest Existing Vegetation Map. Salt Lake City, UT. In progress.

The PALEOMAP project produces paleogreographic maps illustrating the Earth's plate tectonic, paleogeographic, climatic, oceanographic and biogeographic development from the Precambrian to the Modern World and beyond.

A series of digital data sets has been produced consisting of plate tectonic data, climatically sensitive lithofacies, and biogeographic data. Software has been devloped to plot maps using the PALEOMAP plate tectonic model and digital geographic data sets: PGIS/Mac, Plate Tracker for Windows 95, Paleocontinental Mapper and Editor (PCME), Earth System History GIS (ESH-GIS), PaleoGIS(uses ArcView), and PALEOMAPPER.

Teaching materials for educators including atlases, slide sets, VHS animations, JPEG images and CD-ROM digital images.

Some PALEOMAP products include: Plate Tectonic Computer Animation (VHS) illustrating motions of the continents during the last 850 million years.

Paleogeographic Atlas consisting of 20 full color paleogeographic maps. (Scotese, 1997).

Paleogeographic Atlas Slide Set (35mm)

Paleogeographic Digital Images (JPEG, PC/Mac diskettes)

Paleogeographic Digital Image Archive (EPS, PC/Mac Zip disk) consists of the complete digital archive of original digital graphic files used to produce plate tectonic and paleographic maps for the Paleographic Atlas.

GIS software such as PaleoGIS and ESH-GIS.