This feature class contains county boundaries for all 64 Colorado counties and 2010 US Census attributes data describing the population within each county.

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. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2015, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs, delineated in 20 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.

County boundaries of Colorado.

The 2020 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The generalized boundaries of legal MCDs are based on those as of January 1, 2020 as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

County boundaries and area, from the Colorado Department of Transportation (CDOT) for 64 counties in the state of Colorado.

This web map created by the Colorado Governor's Office of Information Technology GIS team, serves as a basemap specific to the state of Colorado. The basemap includes general layers such as counties, municipalities, roads, waterbodies, state parks, national forests, national wilderness areas, and trails.Layers:Layer descriptions and sources can be found below. Layers have been modified to only represent features within Colorado and are not up to date. Layers last updated February 23, 2023. Colorado State Extent: Description: “This layer provides generalized boundaries for the 50 States and the District of Columbia.” Notes: This layer was filtered to only include the State of ColoradoSource: Esri Living Atlas USA States Generalized Boundaries Feature LayerState Wildlife Areas:Description: “This data was created by the CPW GIS Unit. Property boundaries are created by dissolving CDOWParcels by the property name, and property type and appending State Park boundaries designated as having public access. All parcel data correspond to legal transactions made by the CPW Real Estate Unit. The boundaries of the CDOW Parcels were digitized using metes and bounds, BLM's GCDB dataset, the PLSS dataset (where the GCDB dataset was unavailable) and using existing digital data on the boundaries.” Notes: The state wildlife areas layer in this basemap is filtered from the CPW Managed Properties (public access only) layer from this feature layer hosted in ArcGIS Online Source: Colorado Parks and Wildlife CPW Admin Data Feature LayerMunicipal Boundaries:Description: "Boundaries data from the State Demography Office of Colorado Municipalities provided by the Department of Local Affairs (DOLA)"Source: Colorado Information Marketplace Municipal Boundaries in ColoradoCounties:Description: “This layer presents the USA 2020 Census County (or County Equivalent) boundaries of the United States in the 50 states and the District of Columbia. It is updated annually as County (or County Equivalent) boundaries change. The geography is sources from US Census Bureau 2020 TIGER FGDB (National Sub-State) and edited using TIGER Hydrology to add a detailed coastline for cartographic purposes. Geography last updated May 2022.” Notes: This layer was filtered to only include counties in the State of ColoradoSource: Esri USA Census Counties Feature LayerInterstates:Description: Authoritative data from the Colorado Department of Transportation representing Highways Notes: Interstates are filtered by route sign from this CDOT Highways layer Source: Colorado Department of Transportation Highways REST EndpointU.S. Highways:Description: Authoritative data from the Colorado Department of Transportation representing Highways Notes: U.S. Highways are filtered by route sign from this CDOT Highways layer Source: Colorado Department of Transportation Highways REST EndpointState Highways:Description: Authoritative data from the Colorado Department of Transportation representing Highways Notes: State Highways are filtered by route sign from this CDOT Highways layer Source: Colorado Department of Transportation Highways REST EndpointMajor Roads:Description: Authoritative data from the Colorado Department of Transportation representing major roads Source: Colorado Department of Transportation Major Roads REST EndpointLocal Roads:Description: Authoritative data from the Colorado Department of Transportation representing local roads Source: Colorado Department of Transportation Local Roads REST EndpointRail Lines:Description: Authoritative data from the Colorado Department of Transportation representing rail lines Source: Colorado Department of Transportation Rail Lines REST EndpointCOTREX Trails:Description: “The Colorado Trail System, now titled the Colorado Trail Explorer (COTREX), endeavors to map every trail in the state of Colorado. Currently their are nearly 40,000 miles of trails mapped. Trails come from a variety of sources (USFS, BLM, local parks & recreation departments, local governments). Responsibility for accuracy of the data rests with the source.These data were last updated on 2/5/2019” Source: Colorado Parks and Wildlife CPW Admin Data Feature LayerNHD Waterbodies:Description: “The National Hydrography Dataset Plus (NHDplus) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US EPA Office of Water and the US Geological Survey, the NHDPlus provides mean annual and monthly flow estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses.”Notes: This layer was filtered to only include waterbodies in the State of ColoradoSource: National Hydrography Dataset Plus Version 2.1 Feature LayerNHD Flowlines:Description: “The National Hydrography Dataset Plus (NHDplus) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US EPA Office of Water and the US Geological Survey, the NHDPlus provides mean annual and monthly flow estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses.”Notes: This layer was filtered to only include flowline features in the State of ColoradoSource: National Hydrography Dataset Plus Version 2.1 Feature LayerState Parks:Description: “This data was created by the CPW GIS Unit. Property boundaries are created by dissolving CDOWParcels by the property name, and property type and appending State Park boundaries designated as having public access. All parcel data correspond to legal transactions made by the CPW Real Estate Unit. The boundaries of the CDOW Parcels were digitized using metes and bounds, BLM's GCDB dataset, the PLSS dataset (where the GCDB dataset was unavailable) and using existing digital data on the boundaries.” Notes: The state parks layer in this basemap is filtered from the CPW Managed Properties (public access only) layer from this feature layer Source: Colorado Parks and Wildlife CPW Admin Data Feature LayerDenver Parks:Description: "This dataset should be used as a reference to locate parks, golf courses, and recreation centers managed by the Department of Parks and Recreation in the City and County of Denver. Data is based on parcel ownership and does not include other areas maintained by the department such as medians and parkways. The data should be used for planning and design purposes and cartographic purposes only."Source: City and County of Denver Parks REST EndpointNational Wilderness Areas:Description: “A parcel of Forest Service land congressionally designated as wilderness such as National Wilderness Area.”Notes: This layer was filtered to only include National Wilderness Areas in the State of ColoradoSource: United States Department of Agriculture National Wilderness Areas REST EndpointNational Forests: Description: “A depiction of the boundaries encompassing the National Forest System (NFS) lands within the original proclaimed National Forests, along with subsequent Executive Orders, Proclamations, Public Laws, Public Land Orders, Secretary of Agriculture Orders, and Secretary of Interior Orders creating modifications thereto, along with lands added to the NFS which have taken on the status of 'reserved from the public domain' under the General Exchange Act. The following area types are included: National Forest, Experimental Area, Experimental Forest, Experimental Range, Land Utilization Project, National Grassland, Purchase Unit, and Special Management Area.”Notes: This layer was filtered to only include National Forests in the State of ColoradoSource: United States Department of Agriculture Original Proclaimed National Forests REST Endpoint

This resource is a member of a series. 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) System (MTS). The MTS 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 TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state but may extend across county and county subdivision boundaries. An incorporated place is usually a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs are often defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2024, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census, but some CDPs were added or updated through the 2024 BAS as well.

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. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

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. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

Infrastructure, such as roads, airports, water and energy transmission and distribution facilities, sewage treatment plants, and many other facilities, is vital to the sustainability and vitality of any populated area. Rehabilitation of existing and development of new infrastructure requires three natural resources: natural aggregate (stone, sand, and gravel), water, and energy http://rockyweb.cr.usgs.gov/frontrange/overview.htm.

The principal goals of the U.S. Geological Survey (USGS) Front Range Infrastructure Resources Project (FRIRP) were to develop information, define tools, and demonstrate ways to: (1) implement a multidisciplinary evaluation of the distribution and quality of a region's infrastructure resources, (2) identify issues that may affect availability of resources, and (3) work with cooperators to provide decision makers with tools to evaluate alternatives to enhance decision-making. Geographic integration of data (geospatial databases) can provide an interactive tool to facilitate decision-making by stakeholders http://rockyweb.cr.usgs.gov/frontrange/overview.htm.

The TIGER2020 City Boundaries include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a State, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the State in which they are located. The boundaries for CDPs often are defined in partnership with State, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. The only population/housing size requirement for CDPs for the 2020 Census is that they must contain some housing and population.

BasicsOriginal creator: U.S. Census BureauCurrentness: As of 2020Dataset source: https://geodata.colorado.gov/datasets/esri::usa-census-counties/aboutThe following information was adapted from the original U.S. Census Bureau feature layer:"This layer presents the 2020 U.S. Census County (or County Equivalent) boundaries of the United States in the 50 states and the District of Columbia. It includes 2020 U.S. Census codes and population information.This layer is updated annually. The geography is sourced from U.S. Census Bureau 2020 TIGER FGDB (National Sub-State) and edited using TIGER Hydrography to add a detailed coastline for cartographic purposes. Attribute fields include 2020 total population from the U.S. Census Public Law 94 data."Data QualityCompleteness: This data is complete.Process Description: This layer was modified in ArcGIS Pro by selecting for the seven study area counties of MetroDNA's Regional Equity Assessment (REA).This Layer Supports:Patterns of Disability and Accessibility web app/mapExploring Accessibility Data web app/map

Wall map of Mesa County's 90 voting precincts and boundaries of Colorado State House districts 54 and 55. A 60 x 36" copy can be purchased for $10 by contacting Mesa County Elections.

Data repository to find basic facts, roll over counties on the map of a county to get a full profile with demographics, health coverage, and health workforce information, info for how to use the data etc.

The Weldona 7.5' quadrangle is located on the semiarid plains of northeastern Colorado, along the South Platte River corridor where the river has incised into Upper Cretaceous Pierre Shale. The Pierre Shale is largely covered by surficial deposits that formed from alluvial, eolian, and hillslope processes operating in concert with environmental changes from the Pleistocene to the present. The South Platte River, originating high in the Colorado Rocky Mountains, has played a major role in shaping surficial geology in the map area, which is several tens of kilometers downstream from where headwater tributaries join the river. Recurrent glaciation (and deglaciation) of basin headwaters has affected river discharge and sediment supply far downstream, influencing deposition of alluvium and river incision in the Weldona quadrangle. During the Pleistocene the course of the river within the map area shifted progressively southward as it incised, and by late middle Pleistocene the river wa ...

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

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. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2020 Census blocks nest within every other 2020 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.

Colorado Community Anchor Institutions (CAI) Feature Class Summary This layer represents the National Telecommunications Information Administration (NTIA) State Broadband Data Development Program (SBDD) Community Anchor Institutions (CAI) which subscribe to broadband. Description Introduction This layer represents the National Telecommunications Information Administration (NTIA) State Broadband Data Development Program (SBDD) Community Anchor Institutions (CAI) which subscribe to broadband. ''Community Anchor Institutions'' consist of schools, libraries, medical and healthcare providers, public safety entities, community colleges and other institutions of higher education, and other community support organizations and entities. These locations may not offer broadband availability to the public (although most libraries and many schools, and community centers do) but rather offer an opportunity for policy makers to understand where community anchor institutions who have broadband access are which can help in identifying challenges and opportunities to reaching national connectivity goals. For additional information visit NOFA (Notice of Funding Availability) website: http://www.ntia.doc.gov/broadbandgrants/nofa.html Intent The primary source of information has been online address and location research, in combination with google maps and NAIP aerial imagery. Ideally, our end goal is to have every county maintain and provide data directly. The advantage being that local officials have more direct access to acquiring accurate data for their respective counties, and more experience within these counties. Secondly, it will allow each county to sustain accurate CAI data without being reliant on the state government. For example, if Hinsdale county sustained its own CAIs, it would not need to wait on the state to complete and update their CAI data. Achieving this goal will provide the counties in Colorado with accurate and useful data without the limitations of being bottle necked by a single data editing source. Process The existing CAI point data is edited and maintained using ESRI Arc Desktop 10.1. Points have first been verified for their spatial accuracy. They are overlayed onto NAIP aerial imagery. Using a combination of online sources, such as Google Maps and Google Earth, the address and location of each point is verified. If the point is inaccurately positioned, it is moved to the correct location. Attributes are also check for accuracy and updated. Sometimes street names or address numbers are not present, and must be identified through research. Presently a total of 5478 CAI locations have been researched and edited. We were unable to indentify the definitive location of 4% of these CAIs. This results in a favorable 96% accuracy rate thus far. This dataset will be continuously checked and improved upon as time goes on. In addition, CAI locations have been contacted in order to acquire internet speed test results. Currently 1356 of the total Community Anchor Institutions have speed test results. We will continute to add to this number as time goes on. Finally, this data will be accessible and modifiable via GIS services. This will allow county officials to actively edit the data. Data Fields The following items are the fields within the CAI feature class. There are several different field types within this dataset. The bold faced portion is representative of the field name, while the following text represents the type of the field as well as length, precision, and scale. Additionally, OBJECTIDand SHAPE are generated by Arc Map. OBJECTID- ObjectID Longitude- Double P38 S8 OITIndex- Short Latitude- Double P38 S8 AnchorName- String 200 FKProvider- Short FullAddress- String 200 KEY_- Short StreetAddress- 50 URL- String 100 Status- Short CAICategory - String 2 AddressNumber- Long CAIID- String 50 NumberSuffix - String 15 FullCensusBlockID- String 16 StreetPreModifier - String 10 TransTech- Double P38 S8 StreetPreDirectional - String 20 BBService- String 1 StreetPreType- String 20 PublicWiFi- String 1 StreetSeparator - String 10 CAIComments- String 255 StreetName - String 75 BBComments- String 255 StreetPostType- String 20 MaxAdDown- String 2 StreetPostDirectional- String 20 MaxAdUp- String 2 StreetPostModifier- String 20 SubScrbDown - String 2 SubAddress- String 50 SubScrbUp- String 2 Intersection- String 100 ActualDown- Double P38 S8 PlaceName- String 100 ActualUp- Double P38 S8 District- String 100 TestDate- String 255 County- String 50 ProviderNM- String 255 StateAbbrev- String 50 LocationChanged_Y_N- String 1 ZipCode- Long Done- String 1 Zip4- Short SHAPE- Geometry AddressLocDesc- String 255

Credits State of Colorado, Governor's Office of Information Technology (OIT) Archuleta County Baca County City and County of Broomfield Custer County Eagle County El Paso - Teller E911 Authority Garfield County Grand County La Plata County Larimer County Las Animas County E911 Authority Lincoln County Mesa County Moffat County Montezuma County North Central All - Hazards Region Pueblo County Routt County Use limitations None Extent West -109.011097 East -102.082504 North 40.994186 South 37.005858 Scale Range Maximum (zoomed in) 1:5,000 Minimum (zoomed out) 1:150,000,000 ArcGIS Metadata ► Topics and Keywords ► THEMES OR CATEGORIES OF THE RESOURCE  structure, location, health, utilitiesCommunication * CONTENT TYPE  Downloadable Data EXPORT TO FGDC CSDGM XML FORMAT AS RESOURCE DESCRIPTION No

DISCIPLINE KEYWORDS  Public Service Facilities Broadband Internet Service

PLACE KEYWORDS  Colorado

TEMPORAL KEYWORDS  2014

THEME KEYWORDS  Public Use Structures, Community Anchor Institutions, Essential Facilities, Landmark Features, Key Geographic Locations, Points of Interest, Structures, Public Buildings, Facilities of General Interest, Civic or Government Buildings, Public Service Facilities, Fire Station, Police Station, School, Library, Post Office, Town Hall.

Hide Topics and Keywords ▲ Citation ► TITLE Colorado Community Anchor Institutions (CAI) ALTERNATE TITLES  Colorado CAIs CREATION DATE 2012-08-31 00:00:00 REVISION DATE 2013-02-07 00:00:00 EDITION Early 2013 Local Review Edition EDITION DATE 2013-02-07 PRESENTATION FORMATS  digital map SERIES  NAME Colorado Broadband Map Database

COLLECTION TITLE Colorado Broadband Map Database OTHER CITATION DETAILS The locations and Internet broadband speeds of Community Anchor Institututions within the State are required deliverables to the National Telecommunications and Information Administrations (NTIA) in accordance with the State Broadband Data and Development Grant Program requirements found in Federal Register /Vol. 74, No. 129 /Wednesday, July 8, 2009 /Notices, pages 32548 and 32563. Hide Citation ▲ Citation Contacts ► RESPONSIBLE PARTY  INDIVIDUAL'S NAME Nathan Lowry ORGANIZATION'S NAME State of Colorado, Governor's Office of Information Technology CONTACT'S POSITION GIS Outreach Coordinator CONTACT'S ROLE  publisher RESPONSIBLE PARTY  INDIVIDUAL'S NAME Tudor Stanescu ORGANIZATION'S NAME Governor's Office of Information Technology CONTACT'S POSITION GIS Technician CONTACT'S ROLE  publisher

CONTACT INFORMATION  ► PHONE  VOICE (303)-764-6861 FAX N/A

ADDRESS  TYPE both DELIVERY POINT 601 East 18th Avenue Suite 220 CITY Denver ADMINISTRATIVE AREA Colorado POSTAL CODE 80203-1494 COUNTRY US E-MAIL ADDRESS tudor.stanescu@state.co.us

HOURS OF SERVICE 7:00am - 4:00pm Hide Contact information ▲

Hide Citation Contacts ▲ Resource Details ► DATASET LANGUAGES  English (UNITED STATES) DATASET CHARACTER SET  utf8 - 8 bit UCS Transfer Format STATUS  on-going SPATIAL REPRESENTATION TYPE  vector GRAPHIC OVERVIEW  FILE NAME ColoradoCAIs.png at https://docs.google.com/file/d/0B_O_LJbuRH4azB0RlZ1SUVKMXc/edit?usp=sharing FILE DESCRIPTION Colorado Community Anchor Institutions (CAIs) FILE TYPE Portable Network Graphic file (.png)

* PROCESSING ENVIRONMENT Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.1.3143 CREDITS State of Colorado, Governor's Office of Information Technology (OIT) Archuleta County Baca County City and County of Broomfield Custer County Eagle County El Paso - Teller E911 Authority Garfield County Grand County La Plata County Larimer County Las Animas County E911 Authority Lincoln County Mesa County Moffat County Montezuma County North Central All - Hazards Region Pueblo County Routt County

ARCGIS ITEM PROPERTIES  * NAME CAIs.DBO.ColoradoCAI * LOCATION Server=10.12.1.28; Service=sde:sqlserver:10.12.1.28; Database=CAIs; User=stanescut; Version=dbo.DEFAULT * ACCESS PROTOCOL ArcSDE Connection

Hide Resource Details ▲ Extents ► EXTENT  DESCRIPTION The State of Colorado, United States of America GEOGRAPHIC EXTENT  BOUNDING RECTANGLE  WEST LONGITUDE -114.996946 EAST LONGITUDE -96.104491 SOUTH LATITUDE 32.485329 NORTH LATITUDE 45.503973 EXTENT CONTAINS THE RESOURCE No

TEMPORAL EXTENT  BEGINNING DATE 2010-01-01 00:00:00 ENDING DATE 2010-12-31 00:00:00

EXTENT  GEOGRAPHIC EXTENT  BOUNDING RECTANGLE  EXTENT TYPE  Extent used for searching * WEST LONGITUDE -109.011097 * EAST LONGITUDE -102.082504 * NORTH LATITUDE 40.994186 * SOUTH LATITUDE 37.005858

EXTENT IN THE ITEM'S COORDINATE SYSTEM  * WEST LONGITUDE -109.011097 * EAST LONGITUDE -102.082504 * SOUTH LATITUDE 37.005858 * NORTH LATITUDE 40.994186 * EXTENT CONTAINS THE RESOURCE Yes

Hide Extents ▲ Resource Points of Contact ► POINT OF CONTACT  INDIVIDUAL'S NAME Nathan Lowry ORGANIZATION'S NAME State of

This digital map shows bedding attitude symbols display over the geographic extent of surficial deposits and rock stratigraphic units (formations) as compiled by Trimble and Machette 1973-1977 and published in 1979 (U.S. Geological Survey Map I-856-H) under the Front Range Urban Corridor Geology Program. Trimble and Machette compiled their geologic map from published geologic maps and unpublished geologic mapping having varied map unit schemes. A convenient feature of the compiled map is its uniform classification of geologic units that mostly matches those of companion maps to the north (USGS I-855-G) and to the south (USGS I-857-F). Published as a color paper map, the Trimble and Machette map was intended for land-use planning in the Front Range Urban Corridor. This map recently (1997-1999), was digitized under the USGS Front Range Infrastructure Resources Project (see cross-reference). In general, the mountainous areas in the west part of the map exhibit various igneous and metamorphic bedrock units of Precambrian age, major faults, and fault brecciation zones at the east margin (5-20 km wide) of the Front Range. The eastern and central parts of the map (Colorado Piedmont) depict a mantle of unconsolidated deposits of Quaternary age and interspersed outcroppings of Cretaceous or Tertiary-Cretaceous sedimentary bedrock. The Quaternary mantle is comprised of eolian deposits (quartz sand and silt), alluvium (gravel, sand, and silt of variable composition), colluvium, and few landslides. At the mountain front, north-trending, dipping Paleozoic and Mesozoic sandstone, shale, and limestone bedrock formations form hogbacks and intervening valleys.

New 1:24,000-scale geologic mapping along the Interstate-70 urban corridor in western Colorado, in support of the USGS Central Region State/USGS Cooperative Geologic Mapping Project, is contributing to a more complete understanding of the stratigraphy, structure, tectonic evolution, and hazard potential of this rapidly developing region. The 1:24,000-scale Dillon quadrangle is near the headwaters of the Blue River and straddles features of the Blue River graben (Kellogg, 1999), part of the northernmost reaches of the Rio Grande rift, a major late Oligocene to recent zone of extension that extends from Colorado to Mexico. The Williams Range thrust fault, the western structural margin of the Colorado Front Range, cuts through the center of the quadrangle, although is mostly covered by surficial deposits. The oldest rocks in the quadrangle underlie the Williams Fork Mountains and the ridge immediately east of South Fork Middle Fork River, and include biotite-sillimanite schist and gneiss, amphibolite, and migmatite that are intruded by granite inferred to be part of the 1,667-1,750 Ma Routt Plutonic Suite (Tweto, 1987). The oldest exposed sedimentary unit is the Upper Jurassic Morrison Formation, but Pennsylvanian Maroon Formation, a sequence of red sandstone, conglomerate, and interbedded shale, underlies the southern part of the quadrangle. The thickest sequence of sedimentary rocks is Cretaceous in age and includes at least 500 m of the Upper Cretaceous Pierre Shale. Surficial deposits include (1) an old, deeply dissected landslide deposit, possibly as old as Pliocene, on the west flank of the Williams Fork Mountains, (2) deeply weathered, very coarse gravel deposits underlying a mesa in the southwest part of the quadrangle (the Mesa Cortina subdivision. The gravels are gold bearing and were mined by hydraulic methods in the 1800s), (3) moderately to deeply weathered, widespread, bouldery material that is a combination of till of the Bull Lake glaciation, debris-flow deposits, landslide deposits, and possibly pre-Bull Lake till, (4) glacial deposits of both Bull Lake (middle Pleistocene) and Pinedale (late Pleistocene)glaciations, (5) recent landslide deposits, and (6)extensive colluvial and alluvial deposits.