In 2023, the population of the Denver-Aurora-Lakewood metropolitan area in the United States was about three million people. This was a slight increase from the previous year, when the population was also about 2.99 million people.

Chart and table of population level and growth rate for the Denver metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

Graph and download economic data for Resident Population in Denver County/city, CO (CODENV5POP) from 1970 to 2023 about Denver County, CO; Denver; CO; residents; population; and USA.

In 2022, the real gross domestic product (GDP) amounted to 249.65 billion U.S. dollars. This was an increase from the previous year when the real GDP came to 239.4 billion U.S. dollars.

The Denver-Aurora-Broomfield, CO Metropolitan Statistical Area is a United States Census Bureau defined Metropolitan Statistical Area (MSA) in the State of Colorado that includes the City and County of Denver and nine suburban counties. The Denver-Aurora-Broomfield MSA, the Boulder MSA, and the Greeley MSA comprise the larger Denver-Aurora-Boulder Combined Statistical Area. Local residents generally use the term Denver area or Denver metro area which may informally mean anything from the continuously urbanized area within the six central counties of the MSA to the Front Range Urban Corridor north of Colorado Springs and south of Fort Collins.

About this dataset

Context

The dataset tabulates the Denver population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Denver across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Denver was 716,577, a 0.44% increase year-by-year from 2022. Previously, in 2022, Denver population was 713,453, an increase of 0.28% compared to a population of 711,467 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Denver increased by 160,257. In this period, the peak population was 725,508 in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Denver is shown in this column.
• Year on Year Change: This column displays the change in Denver population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Year. You can refer the same here

Graph and download economic data for Employed Persons in Denver-Aurora-Lakewood, CO (MSA) (LAUMT081974000000005) from Jan 1990 to Jan 2025 about Denver, CO, household survey, employment, persons, and USA.

Chart and table of population level and growth rate for the Colorado Springs metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

In 2023, the metropolitan area of New York-Newark-Jersey City had the biggest population in the United States. Based on annual estimates from the census, the metropolitan area had around 19.5 million inhabitants, which was a slight decrease from the previous year. The Los Angeles and Chicago metro areas rounded out the top three. What is a metropolitan statistical area? In general, a metropolitan statistical area (MSA) is a core urbanized area with a population of at least 50,000 inhabitants – the smallest MSA is Carson City, with an estimated population of nearly 56,000. The urban area is made bigger by adjacent communities that are socially and economically linked to the center. MSAs are particularly helpful in tracking demographic change over time in large communities and allow officials to see where the largest pockets of inhabitants are in the country. How many MSAs are in the United States? There were 421 metropolitan statistical areas across the U.S. as of July 2021. The largest city in each MSA is designated the principal city and will be the first name in the title. An additional two cities can be added to the title, and these will be listed in population order based on the most recent census. So, in the example of New York-Newark-Jersey City, New York has the highest population, while Jersey City has the lowest. The U.S. Census Bureau conducts an official population count every ten years, and the new count is expected to be announced by the end of 2030.

A dataset listing Colorado cities by population for 2024.

About this dataset

Context

The dataset presents the median household income across different racial categories in Denver City. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Denver City population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 69.19% of the total residents in Denver City. Notably, the median household income for White households is $82,677. Interestingly, despite the White population being the most populous, it is worth noting that Two or More Races households actually reports the highest median household income, with a median income of $100,182. This reveals that, while Whites may be the most numerous in Denver City, Two or More Races households experience greater economic prosperity in terms of median household income.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Denver City.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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 City median household income by race. You can refer the same here

description: Greater sandhill cranes of the Rocky Mountain Population (RMP) were counted at fall premigration staging areas in Colorado, Idaho, Montana, Utah, and Wyoming during September 2014. Migrants that had arrived at RMP migration stopover areas near Jensen, Utah and in the San Luis Valley, Colorado were also recorded. The cooperative survey was organized by the Pacific Flyway Subcommittee on RMP of Greater Sandhill Cranes and the U.S. Fish and Wildlife Service (FWS). The FWS, Division of Migratory Bird Management (DMBM), Denver, provided a Cessna 206 for a portion of the survey. Aerial and ground surveys were conducted by personnel from respective state agencies, FWS and volunteers (participants listed in Table 1).; abstract: Greater sandhill cranes of the Rocky Mountain Population (RMP) were counted at fall premigration staging areas in Colorado, Idaho, Montana, Utah, and Wyoming during September 2014. Migrants that had arrived at RMP migration stopover areas near Jensen, Utah and in the San Luis Valley, Colorado were also recorded. The cooperative survey was organized by the Pacific Flyway Subcommittee on RMP of Greater Sandhill Cranes and the U.S. Fish and Wildlife Service (FWS). The FWS, Division of Migratory Bird Management (DMBM), Denver, provided a Cessna 206 for a portion of the survey. Aerial and ground surveys were conducted by personnel from respective state agencies, FWS and volunteers (participants listed in Table 1).

The highest city in the world with a population of more than one million is La Paz. The Capital of Bolivia sits 3,869 meters above sea level, and is more than 1,000 meters higher than the second ranked city - Quito. La Paz is also higher than Mt. Fuji in Japan, which has a height of 3,776 meters. Many of the world's highest cities are located in South America. The only city in North America that makes the top 20 list is Denver, Colorado, which has an altitude of 1,673 meters.

This statistic shows the top metropolitan areas with the highest percentage of college graduates in the United States in 2019. In 2019, Boulder in Colorado was ranked first with 64.8 percent of its population having a Bachelor's degree or higher.

This data release consists of three child items distinguishing the following types of data: light detection and ranging (lidar) point clouds (LPCs), digital elevation models (DEMs), and snow depth raster maps. These three data types are all derived from lidar data collected on small, uncrewed aircraft systems (sUAS) at study areas in the Upper Colorado River Basin, Colorado, from 2020 to 2022. These data were collected and generated as part of the U.S. Geological Survey's (USGS) Next Generation Water Observing Systems (NGWOS) Upper Colorado River Basin project.

Atmospheric deposition of reactive nitrogen (Nr) due to human activities can have measurable effects on ecosystem processing and export of nutrients, groundwater and surface-water quality. Rates of Nr deposition to lower-elevation forests immediately adjacent to the Denver/Boulder urban area, however, have only recently been measured. The focus of this study was to determine the extent of urban and agricultural N pollution transport to the Colorado Front Range. In conjunction with the Network for Urban Atmospheric Nitrogen Chemistry (NUANC) and the National Atmospheric Deposition Program (NADP), we measured wet-plus-dry Nr deposition and evaluated spatial and seasonal variations in N deposition along an elevational gradient (1603 to 3159 meters) from plains to subalpine ecosystems west of Boulder, Colorado. Ion-exchange-resin (IER) columns with attached collector funnels were deployed at 5 locations along the elevational gradient during spring, summer and fall seasons to measure bulk (wet-plus-dry) N deposition. IER columns were collected at ~2-month intervals in 2018 and 2019 then extracted with KCl and analyzed for nitrate plus nitrite and ammonium concentrations. Results were blank corrected using sealed field IERs deployed to measure potential contamination due to handling. The mass of nitrogen species on the column was calculated and normalized to mass per unit area per day using the surface area of the funnel opening. Snow buckets were employed periodically during the winter to obtain estimates of deposition during snow falls. Results were normalized to mass per unit area per day using the surface area of the snow bucket opening.

The United States has an average elevation of roughly 2,500 feet (763m) above sea level, however there is a stark contrast in elevations across the country. Highest states Colorado is the highest state in the United States, with an average elevation of 6,800 feet (2,074m) above sea level. The 10 states with the highest average elevation are all in the western region of the country, as this is, by far, the most mountainous region in the country. The largest mountain ranges in the contiguous western states are the Rocky Mountains, Sierra Nevada, and Cascade Range, while the Appalachian Mountains is the longest range in the east - however, the highest point in the U.S. is Denali (Mount McKinley), found in Alaska. Lowest states At just 60 feet above sea level, Delaware is the state with the lowest elevation. Delaware is the second smallest state, behind Rhode Island, and is located on the east coast. Larger states with relatively low elevations are found in the southern region of the country - both Florida and Louisiana have an average elevation of just 100 feet (31m) above sea level, and large sections of these states are extremely vulnerable to flooding and rising sea levels, as well as intermittent tropical storms.

This digital database release contains elevation surfaces on 24 surfaces representing the tops of geological formations in the Denver Basin. These surfaces were exported as raster data from Leapfrog software, in which the model was constructed. Inputs to the model include well top data compiled from state agencies, formation contacts extracted from the Stage Geological Map Compilation, and structural elevation contours from Colorado and Wyoming state agencies and USGS water studies. These data are not included in this release. However, the sources are documented in the included DataSources table to allow retrieval of source data, should it be desired by the user. Other Non-Spatial tables include a Description of Model Units, describing the geology of each formation included as a unit in the model, a Glossary of terms, and a GeoMaterialDict table with terms common to GeMS-formatted databases. The EntityAndAttribute_DataDictionary_DenverBasin.csv file provides a listing of all outputs included in this release. DenverBasinInputSummaryTable.csv documents settings used to build the model (boundary filter, snapping, data sources, etc.) Three faults were used in the construction of the model. The Rocky Mountain Front reverse fault cuts the model from north to south. The Hartville Fault terminates against the Rocky Mountain Front in Wyoming. Finally, the Laramie Fault of Wyoming forms the edge of the study area in the northwest of the model. These faults are included as grids of points in point feature classes. The Denver Basin is a sedimentary basin primarily located in northeastern Colorado, with portions in Wyoming, Nebraska, and Kansas. The basin is bounded by the Hartville Uplift in Wyoming, the Chadron and Cambridge Arches of Nebraska, the Las Animas Arch in Colorado and Kansas, and the Apishapa Uplift in Colorado. The fault-bounded Rocky Mountain Front forms the western boundary of the model. Thrust faulting and sediment loading associated with the Rocky Mountain Front created the asymmetric shape of the Denver Basin, with a foredeep centered near Boulder, Colorado. Broad changes in geology can be seen in this Denver Basin model, from a Paleozoic-dominated carbonate platform near the Las Animas Arch transitioning to Penn-Perm clastics shed off the Ancestral Rocky Mountains. Other geologic features of interest visible within the model include Red Rocks Amphitheater in Morrison, CO, Garden of the Gods Park near Colorado Springs, and an interpretation of the Ralston Dike and associated Table Mountain volcanics near Golden, Colorado.

BMI data is obtained from each systems’ electronic health record and combined into one database managed by the Colorado Department of Public Health and Environment. These data represent individuals who presented for routine care at one of the participating health care organizations, and had a valid height and weight measured. Overweight and obesity prevalence estimates are available for the 7 metro Denver counties, and for rural Prowers County. Estimates generated from the Colorado BMI Monitoring System may be linked with other data sources to identify contributory social and environmental factors.This feature layer represents adult obesity estimates only.DefinitionsCoverage: The total number of individuals in the BMI Monitoring System with a valid BMI divided by the total estimated population from the American Community Survey Population and Demographic Estimates produced by the US Census Bureau in the specified geographic area and age group.Obesity Adults: Obesity is defined as a BMI, calculated from height and weight, of 30 kilograms per meter squared (kg/m2) or greater.Obesity Prevalence Estimates: Percentage of individuals with obesity based upon the total number of individuals with obesity in the specified geographic area and age group divided by the total number of valid BMI measurements in the same specified geographic area and age group.

description: A Visitor Study and Report on the Connections between People, Place and Bison Conservation at the Rocky Mountain Arsenal National Wildlife Refuge. This study makes an important contribution to visitor management and human dimensions of wildlife research at the Rocky Mountain Arsenal National Wildlife Refuge (RMA or Refuge) in metropolitan Denver. Denver Zoo researchers conducted visitor-intercept interviews to collect data about how the Refuge s conservation bison herd, reintroduced in 2009, is shaping the visitor experience. This report summarizes the 2015 findings of this work including the socio-demographic characteristics of Refuge visitors, their self-reported site use patterns and experiences, and their sense of connection to this grassland protected area and its conservation bison herd. Research findings illuminate greater opportunities for RMA, as an urban refuge, to attract and engage Denver publics and other visitors through its bison conservation herd, cementing the value of RMA herd for social and ecological benefit. Denver Zoo s conservation social science team conducted 100 visitor-intercept interviews with Refuge visitors from early July to late August 2015. These interviews followed the pilot testing of a structured interview guide in mid-June 2015. A multi-stage random sampling design for the visitor intercepts ensured a highly representative sample. Interviews were conducted across a range of weeks, days (e.g. weekdays and weekends), and times (morning and afternoon) to capture a variety of visitors. In conclusion, the Refuge s bison herd motivates visitation for almost 20% of Refuge visitors. The herd is seen by visitors as an asset and natural amenity that adds value to their experience and sense of connection to the Refuge. Looking forward, the Refuge s conservation bison herd is an opportunity for attracting broader audiences and supporters, across metropolitan Denver and more globally, to the Refuge and connecting them to the grassland ecosystem it protects. Moreover, the Refuge bison herd is a highly recognizable ambassador herd (and part of the U.S. Fish and Wildlife Service s bison meta-population critical for conservation) that can be interpreted to more effectively demonstrate to urban audiences the importance and value of grassland restoration and contemporary bison recovery across the American West.; abstract: A Visitor Study and Report on the Connections between People, Place and Bison Conservation at the Rocky Mountain Arsenal National Wildlife Refuge. This study makes an important contribution to visitor management and human dimensions of wildlife research at the Rocky Mountain Arsenal National Wildlife Refuge (RMA or Refuge) in metropolitan Denver. Denver Zoo researchers conducted visitor-intercept interviews to collect data about how the Refuge s conservation bison herd, reintroduced in 2009, is shaping the visitor experience. This report summarizes the 2015 findings of this work including the socio-demographic characteristics of Refuge visitors, their self-reported site use patterns and experiences, and their sense of connection to this grassland protected area and its conservation bison herd. Research findings illuminate greater opportunities for RMA, as an urban refuge, to attract and engage Denver publics and other visitors through its bison conservation herd, cementing the value of RMA herd for social and ecological benefit. Denver Zoo s conservation social science team conducted 100 visitor-intercept interviews with Refuge visitors from early July to late August 2015. These interviews followed the pilot testing of a structured interview guide in mid-June 2015. A multi-stage random sampling design for the visitor intercepts ensured a highly representative sample. Interviews were conducted across a range of weeks, days (e.g. weekdays and weekends), and times (morning and afternoon) to capture a variety of visitors. In conclusion, the Refuge s bison herd motivates visitation for almost 20% of Refuge visitors. The herd is seen by visitors as an asset and natural amenity that adds value to their experience and sense of connection to the Refuge. Looking forward, the Refuge s conservation bison herd is an opportunity for attracting broader audiences and supporters, across metropolitan Denver and more globally, to the Refuge and connecting them to the grassland ecosystem it protects. Moreover, the Refuge bison herd is a highly recognizable ambassador herd (and part of the U.S. Fish and Wildlife Service s bison meta-population critical for conservation) that can be interpreted to more effectively demonstrate to urban audiences the importance and value of grassland restoration and contemporary bison recovery across the American West.

Citation: Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This dataset is a Digital Surface Model (DSM) for the Niwot Ridge Long Term Ecological Research (LTER) project area at 2 m resolution. The DSM is derived from the first reflective surface that was created from 12 micron digital stereo aerial photography. Elevation points were automatically filtered to represent bare earth conditions and then interpolated to a 2 meter raster dataset. A shaded relief model was then generated. The DSM and shaded relief model covers a total area of 98 km2 and is available in Environmental Systems Research Institute's (ESRI's) GRID format for a total dataset size of 125 MB. They share a UTM zone 13 projection, NAD83 horizontal datum and NAVD88 vertical datum, with FGDC-compliant metadata. The DSM is available through an unrestricted public license, and can be obtained online or on DVD by request (see Distributor contact information below). Imagery available in this series includes orthorectified aerial photography for 1953, 1972, 1985, 1990, 1999, 2000, 2002, 2004, 2006 and 2008. Together, the digital elevation models and imagery will be of interest to land managers, scientists, and others for observation and analysis of natural features and ecosystems. 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.