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 data layer was developed to support Denver's Food Retail Expansion to Support Health (FRESH) program. This layer will be stored on the City and County of Denver Spatial Database Engine (SDE) server. The data will be maintained on the SDE by the Office of Economic Development. It will be distributed through the SDE and the Denver Open Data Catalog. Data will be updated as time and resources permit, as data falls out of date, or through annual/bi-annual scheduled maintenance.Denver FRESH representatives will monitor Denver GIS requirements and submit current FRESH data layers to City SDE as applicable. Published data will comply with the City and County of Denver’s requirements and Denver Environmental Health’s GIS Cartographic Standards as described in the data layer’s metadata file. Data sources that originate outside the City must be cited. City data beyond normal base layers should have the sources stated, or if the layer is “unusual” or time sensitive then the source and year should be stated.

This data set represents the extent of the Denver Basin aquifer system in Colorado.

Traffic accidents in the City and County of Denver. The data is based on the National Incident Based Reporting System (NIBRS). The data is dynamic, which allows for additions, deletions and/or modifications at any time, resulting in more accurate information in the database. Due to continuous data entry, the number of records in subsequent extractions are subject to change. Accident data is updated Monday through Friday.

These are the complete benchmarking datasets from reporting year 2016 onward with energy usage for all buildings covered under the City and County of Denver’s Energy Benchmarking Ordinance. The Climate Action, Sustainability, & Resiliency team manages compliance with the Energize Denver regulatory program that requires buildings 25,000 square feet and larger to submit their energy benchmarking data once a year. Building energy use is entered into a national benchmarking software database and submitted it to CASR annually. The basic benchmarking requirements are covered on this page: BenchmarkingRequirements - City and County of Denver (denvergov.org).Since 2022, CASR added requirements for the buildings to reach a certain level of energy efficiency in their building by 2030. The most recent dataset shows the annual benchmarking data for the 3,000 buildings that have to comply, but it also now includes what their energy use intensity target is for 2030 (with interim check-ins in 2025 and 2027). The basic performance requirements are covered on this page: Performance Requirements - City and County of Denver (denvergov.org)

The databases contain continuous sensor information as well as time stamped equivalent reference data. This dataset is associated with the following publication: Feinberg, S., R. Williams, G. Hagler, J. Rickard, R. Brown, D. Garver, G. Harshfield, P. Stauffer, E. Mattson, R. Judge, and S. Garvey. Long-term evaluation of air sensor technology under ambient conditions in Denver, Colorado. Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau, GERMANY, 11(8): 4605-4615, (2018).

This dataset represents police districts within the boundaries of the City and County of Denver. This data was derived from data in the City of Denver Open Data Catalog (http://data.denvergov.org). The data and related materials are made available through Esri (http://www.esri.com) and are intended for educational purposes only (see Access and Use Constraints section).

Dataset

This dataset was created by LPK1

Released under CC BY-SA 3.0

Contents

The streets and alleys of the City and County of Denver, Colorado. This dataset is continually undergoing change as they occur within the city. To determine the last change made on a particular street, consult the Editdate field for the particular road segment.

About this dataset

Context

The dataset tabulates the Denver County median household income by race. The dataset can be utilized to understand the racial distribution of Denver County income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Denver County, CO median household income breakdown by race betwen 2012 and 2022
• Median Household Income by Racial Categories in Denver County, CO (2022)

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Denver County median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the Denver population by age. The dataset can be utilized to understand the age distribution and demographics of Denver.

Content

The dataset constitues the following three datasets

• Denver, IN Age Group Population Dataset: A complete breakdown of Denver age demographics from 0 to 85 years, distributed across 18 age groups
• Denver, IN Age Cohorts Dataset: Children, Working Adults, and Seniors in Denver - Population and Percentage Analysis
• Denver, IN Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

About this dataset

Context

The dataset tabulates the Denver population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Denver. The dataset can be utilized to understand the population distribution of Denver by age. For example, using this dataset, we can identify the largest age group in Denver.

Key observations

The largest age group in Denver, CO was for the group of age 30 to 34 years years with a population of 83,755 (11.73%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Denver, CO was the 80 to 84 years years with a population of 9,208 (1.29%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Denver is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Denver total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Denver Population by Age. You can refer the same here

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Denver. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Denver. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Denver, householders within the 25 to 44 years age group have the highest median household income at $104,961, followed by those in the 45 to 64 years age group with an income of $100,384. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $59,198. Notably, householders within the under 25 years age group, had the lowest median household income at $54,868.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Denver median household income by age. You can refer the same here

This dataset is polygon representation of parks, golf courses, and recreation 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.

There are two sources for the subdivision boundary layer. The first is a legacy shapefile of subdivision boundaries which was created and edited separately from the subdivision lots and ownership parcel layers. Due to the independent creation and maintenance of these layers, it is common to see line data separation between subdivision boundaries, lots, and parcels where no legal separation exists. Editing of this dataset more or less ceased at the end of 2010.Beginning in January 2011, new subdivisions have been created and maintained using the ESRI Parcel Fabric data model. In addition, as conditions permit, older subdivisions are re-drawn to original plat and/or City-resurveyed dimensions, and added to the Parcel Fabric dataset. When these older subdivisions are added to the Parcel Fabric, the legacy shapefile representation of the subdivision boundary is deleted.For display on the City website and download from the Open Data Catalog, these two sources are combined into one subdivision layer. Subdivisions based on the Parcel Fabric data model will have a SYSTEM_START_DATE value of January 2011 or later, and will be consistent with underlying lot and parcel data.

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)

About this dataset

Context

The dataset tabulates the population of Denver by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Denver across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 52.82% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Denver is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Denver total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Denver Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Denver by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Denver. The dataset can be utilized to understand the population distribution of Denver by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Denver. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Denver.

Key observations

Largest age group (population): Male # 30-34 years (43,494) | Female # 25-29 years (41,638). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Denver population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Denver is shown in the following column.
• Population (Female): The female population in the Denver is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Denver for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Denver Population by Gender. You can refer the same here

This dataset is an index of Public Land Survey System (PLSS) lines within the City and County of Denver. It is similar to the other Township-Range-Section layers available on the CCD GIS except:1) this dataset contains quarter-section and sixteenth-section lines, and2) the extent of this dataset is limited to GPS-derived and calculated land corner positions, and does not extend as far as the other TRS layers.

Disclaimer

ACCESS CONSTRAINTS:

This dataset is provided as read-only and is restricted to City and County of Denver employees for official City business only. Contact the GIS Administrator for more information on distribution requirements/restrictions.

USE CONSTRAINTS:

The City and County of Denver is not responsible and shall not be liable to the user for damages of any kind arising out of the use of data or information provided by the City and County of Denver, including the installation of the data or information, its use, or the results obtained from its use.

ANY DATA OR INFORMATION PROVIDED BY THE City and County of Denver IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. Data or information provided by the City and County of Denver shall be used and relied upon only at the user's sole risk, and the user agrees to indemnify and hold harmless the City and County of Denver, its officials, officers and employees from any liability arising out of the use of the data/information provided.

NOT FOR ENGINEERING PURPOSES

The purpose of this layer is to provide an accurate representation of impervious surfaces in the City and County of Denver. This layer combines Stormwater Billing impervious surfaces with Planimetric impervious surfaces; allowing for a comprehensive, city-wide, impervious surface layer.This layer is a compilation of two independent sources of impervious surface data. The data is provided by both the City and County of Denver’s Public Works Wastewater Management Division-Customer Service (WMD-CS) and Kucera International Inc.The WMD-CS data represents areas digitized for all stormwater billing inspections after December 2002 and contains impervious surface delineations of each inspected property. These features are updated daily by WMD-CS field investigators and GIS personnel. The planimetric data, supplied by Kucera International Inc, defines the stereocompiled features of the DRCOG Denver Region Urbanized Project Area. The features were compiled from the Denver Regional Aerial Photography Project (DRAPP) 2016 Aerial Imagery Acquisition and Production. This 1"=100' scale imagery is comprised of 4-band RGBIR color orthoimagery with a GSD (Ground Sample Distance) of 0.5'. Imagery was collected with the Leica ADS40 and ADS80 digital sensors and processed with Leica XPro software. Imagery is projected in State Plane Coordinate System, Colorado central zone using the Lambert Conformal Conic map projection parameters. Horizontal and vertical datums are NAD83(11) and NAVD88(GEOID12A) respectively. The planimetric features are static.