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

A layer depicting cities boundaries in Adams County, Colorado. The city boundaries are derived from the Zoning layer. Updated Monthly.

Census ZIP Code Tabulation Areas This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau (USCB), displays ZIP Code Tabulation Areas in the United States. Per the USCB, “ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery.” Tabulation Area: 90210 Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (ZIP Code Tabulation Areas) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 58 (Series Information for 2020 Census 5-Digit ZIP Code Tabulation Area (ZCTA5) National TIGER/Line Shapefiles, Current)OGC API Features Link: (Census ZIP Code Tabulation Areas - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: ZIP Code Tabulation Areas (ZCTAs)For feedback please contact: Esri_US_Federal_Data@esri.comThumbnail source: Esri BasemapsNGDA Data Set This data set is part of the NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community. Per the Federal Geospatial Data Committee (FGDC), this theme is defined as the “boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes.” For other NGDA Content: Esri Federal Datasets

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.

Detailed road map of Weld County. The map includes roads, city limits, water features, and state/federal lands. This is a PDF map that is regularly updated.Tables included on the map are also available as stand-alone PDFs. See the County Road Cross Reference and Road/Street Cross Reference tables. Accessibility and ADA Information

Vector polygon map data of property parcels from Denver, Colorado containing 231,961 features.

Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

This is a comment on the preliminary Congressional Commission redistricting map. Along with providing feedback on that map, it offers a draft alternative that better meets the criteria of the Colorado Constitution. As background, I participated in redistricting initiatives in South Bend, Indiana, in the mid-1980s and for Indiana legislative seats after the 1990 census. I didn’t engage with redistricting during the rest of my 20-year military career. After retiring, and while serving as Public Trustee for El Paso County, I participated in redistricting efforts at the county and city level. I also stood for El Paso County Clerk in 2010. I have lived in Colorado since 2000. The draft alternative map is created using Dave’s Redistricting App (DRA) and can be found at https://davesredistricting.org/join/346f297c-71d1-4443-9110-b92e3362b105. I used DRA because it was more user-friendly in that it allows selection by precinct and by city or town, while the tool provided by the commission seems to allow only selection by census block (or larger clusters). The two tools also use slightly different population estimates, but this will be resolved when the 2020 data are released in August. These comments acknowledge that any map created using estimated populations will need to change to account for the actual census data.

Description of Draft Alternative

    My process started by

identifying large-scale geographic communities of interest within Colorado: the Western Slope/mountain areas, the Eastern Plains, Colorado Springs/El Paso County, the North Front Range, and Denver Metro. Two smaller geographic communities of interest are Pueblo and the San Luis Valley—neither is nearly large enough to sustain a district and both are somewhat distinct from their neighboring communities of interest. A choice thus must be made about which other communities of interest to group them with. El Paso County is within 0.3% of the optimal population, so it is set as District 5. The true Western Slope is not large enough to sustain a district, even with the obvious addition of Jackson County. Rather than including the San Luis Valley with the Western Slope, the preliminary commission map extends the Western Slope district to include all of Fremont County (even Canon City, Florence, and Penrose), Clear Creek County, and some of northern Boulder County. The draft alternative District 3 instead adds the San Luis Valley, the Upper Arkansas Valley (Lake and Chaffee Counties, and the western part of Fremont County), Park and Teller Counties, and Custer County. The draft alternative District 4 is based on the Eastern Plains. In the south, this includes the rest of Fremont County (including Canon City), Pueblo, and the Lower Arkansas Valley. In the north, this includes all of Weld County, retaining it as an intact political subdivision. This is nearly enough population to form a complete district; it is rounded out by including the easternmost portions of Adams and Arapahoe Counties. All of Elbert County is in this district; none of Douglas County is. The draft alternative District 2 is placed in the North Front Range and includes Larimer, Boulder, Gilpin, and Clear Creek Counties. This is nearly enough population to form a complete district, so it is rounded out by adding Evergreen and the rest of Coal Creek in Jefferson County. The City and County of Denver (and the Arapahoe County enclave municipalities of Glendale and Holly Hills) forms the basis of draft alternative District 1. This is a bit too large to form a district, so small areas are shaved off into neighboring districts: DIA (mostly for compactness), Indian Creek, and part of Marston. This leaves three districts to place in suburban Denver. The draft alternative keeps Douglas County intact, as well as the city of Aurora, except for the part that extends into Douglas County. The map prioritizes the county over the city as a political subdivision. Draft alternative District 6, anchored in Douglas County, extends north into Arapahoe County to include suburbs like Centennial, Littleton, Englewood, Greenwood Village, and Cherry Hills Village. This is not enough population, so the district extends west into southern Jefferson County to include Columbine, Ken Caryl, and Dakota Ridge. The northwestern edge of this district would run along Deer Creek Road, Pleasant Park Road, and Kennedy Gulch Road. Draft alternative District 8, anchored in Aurora, includes the rest of western Arapahoe County and extends north into Adams County to include Commerce City, Brighton (except the part in Weld County), Thornton, and North Washington. In the draft alternative, this district includes a sliver of Northglenn east of Stonehocker Park. While this likely would be resolved when final population totals are released, this division of Northglenn is the most notable division of a city within a single county other than the required division of Denver. Draft alternative District 7 encompasses what is left: The City and County of Broomfield; Westminster, in both Jefferson and Adams Counties; Federal Heights, Sherrelwood, Welby, Twin Lakes, Berkley, and almost all of Northglenn in western Adams County; and Lakewood, Arvada, Golden, Wheat Ridge, Morrison, Indian Hills, Aspen Park, Genesee, and Kittredge in northern Jefferson County. The border with District 2 through the communities in the western portion of Jefferson County would likely be adjusted after final population totals are released.

Comparison of Maps

Precise Population Equality
    The preliminary commission

map has exact population equality. The draft alternative map has a variation of 0.6% (4,239 persons). Given that the maps are based on population estimates, and that I left it at the precinct and municipality level, this aspect of the preliminary map is premature to pinpoint. Once final population data are released, either map would need to be adjusted. It would be simple to tweak district boundaries to achieve any desired level of equality. That said, such precision is a bit of a fallacy: errors in the census data likely exceed the 0.6% in the draft map, the census data will be a year out of date when received, and relative district populations will fluctuate over the next 10 years. Both the “good-faith effort†and “as practicable†language leave room for a bit of variance in service of other goals. The need to “justify any variance†does not mean “no variance will be allowed.†For example, it may be better to maintain unity in a community of interest or political subdivision rather than separate part of it for additional precision. The major sticking point here is likely to be El Paso County: given how close it seems to be to the optimal district size, will it be worth it to divide the county or one of its neighbors to achieve precision? The same question would be likely to apply among the municipalities in Metro Denver.

Contiguity
    The draft alternative map

meets this requirement. The preliminary commission map violates the spirit if not the actual language of this requirement. While its districts are connected by land, the only way to travel to all parts of preliminary Districts 3 and 4 without leaving the districts would be on foot. There is no road connection between the parts of Boulder County that are in District 3 and the rest of that district in Grand County without leaving the district and passing through District 2 in either Gilpin or Larimer Counties. There also is no road connection between some of the southwestern portions of Mineral County and the rest of District 4 without passing through Archuleta or Hinsdale Counties in District 3.

Voting Rights Act
    The preliminary staff

analysis assumes it would be possible to create a majority-minority district; they are correct, it can be done via a noncompact district running from the west side of Denver up to Commerce City and Brighton and down to parts of northeastern Denver and northern Aurora. Such a district would go against criteria for compactness, political subdivisions, and even other definitions of communities of interest. Staff asserts that the election of Democratic candidates in this area suffices for VRA. Appendix B is opaque regarding the actual non-White or Hispanic population in each district, but I presume that if they had created a majority-minority district they would have said so. In the draft alternative map, District 8 (Aurora, Commerce City, Brighton, and Thornton) has a 39.6% minority population and District 1 (Denver) has a 34.9% minority population. The proposals are similar in meeting this criterion.

Communities of Interest
    Staff presented a long list

of communities of interest. While keeping all of these intact would be ideal, drawing a map requires compromises based on geography and population. Many communities of interest overlap with each other, especially at their edges. This difficulty points to a reason to focus on existing subdivisions (county, city, and town boundaries): those boundaries are stable and overlap with shared public policy concerns. The preliminary commission map chooses to group the San Luis Valley, as far upstream as Del Norte and Creede, with Pueblo and the Eastern Plains rather than with the Western Slope/Mountains. To balance the population numbers, the preliminary commission map thus had to reach east in northern and central Colorado. The commission includes Canon City and Florence

Census tracts are small, relatively permanent geographic entities within counties (or the statistical equivalents of counties) delineated by a committee of local data users. Generally, census tracts have between 2,500 and 8,000 residents and boundaries that follow visible features. When first established, census tracts are to be as homogeneous as possible with respect to population characteristics, economic status, and living conditions. (www.census.gov)

Created and managed by the Department of Local Affairs (DOLA) at the State of Colorado, this data shows all the local municipalities within the state. Attribution includes information regarding the municipality name, description, order number, etc.For more information on municipalities in the State of Colorado, visit the DOLA website here.

The 2015 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. The records in this file allow users to map the parts of Urban Areas that overlap a particular county. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the "urban footprint." There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are as of January 1, 2010.

The City of Aurora, Colorado sits in three different counties: Adams County, Arapahoe County, and Douglas County and lies just east of the City and County of Denver. The city's population was estimated at 375,000 on July 1, 2018. This web map application presents licensed business within the City of Aurora.

A digital raster graphic (DRG) is a scanned image of a U.S.Geological Survey (USGS) topographic map. The scanned image includes all map collar information. The image inside the map neatline is georeferenced to the surface of Earth. The DRG can be used to collect, review, and revise other digital data especially digital line graphs (DLG). When the DRG is combined with other digital products, such as digital orthophoto quadrangles (DOQ) or digital elevation models (DEM), the resulting image provides additional visual information for the extraction and revision of base cartographic information. The USGS is producing DRGs of the 1:24,000-, 1:25,000-, 1:63,360-(Alaska), 1:100,000-, and 1:250,000-scale topographic map series. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

A digital raster graphic (DRG) is a scanned image of a U.S.Geological Survey (USGS) topographic map. The scanned image includes all map collar information. The image inside the map neatline is georeferenced to the surface of Earth. The DRG can be used to collect, review, and revise other digital data especially digital line graphs (DLG). When the DRG is combined with other digital products, such as digital orthophoto quadrangles (DOQ) or digital elevation models (DEM), the resulting image provides additional visual information for the extraction and revision of base cartographic information. The USGS is producing DRGs of the 1:24,000-, 1:25,000-, 1:63,360-(Alaska), 1:100,000-, and 1:250,000-scale topographic map series. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

Neighborhoods of the City of Aurora, Colorado. The City of Aurora, Colorado sits in three different counties: Adams County, Arapahoe County, and Douglas County and lies just east of the City and County of Denver. The city's population was estimated at 381,000 on July 1, 2019.

The spatial polygon data is aggregated by the State of Colorado Governor's Office of Information Technology Geospatial Information Systems Team. This dataset represents an on-going relationship between the counties, municipalities and the State of Colorado to provide accurate updated parcel information. Updates are collected annually. This data layer reflects an evolving data model of the Colorado State Parcel Dataset.To download this data as a file geodatabase, please visit the link below:File Geodatabase Download

Map of Business improvement districts in Denver, CO.

A reference for Weld County roads which have alternate names in municipal areas. For example, Weld County Road 64 becomes O Street in the City of Greeley. For each Weld County road, the table provides the name of the road in unincorporated Weld County, the identity of the municipal area it crosses, the road’s orientation, and the name of the road in the municipal area.

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 map data layer represents the zoning boundary for the City of Wheat Ridge, CO. The mapped geographic area includes the 9.56 square mile City Planning Jurisdiction in central Jefferson County in Colorado. The zoning boundaries data layer is governed by ordinance and is only changed accordingly.

Interactive map of official trail conditions and closure information for trails managed by City of Fort Collins Natural Areas, City of Fort Collins Parks, and Larimer County Natural Resources.