14 datasets found
  1. Denver-Aurora-Lakewood metro area population in the U.S. 2010-2023

    • statista.com
    Updated Oct 16, 2024
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    Statista (2024). Denver-Aurora-Lakewood metro area population in the U.S. 2010-2023 [Dataset]. https://www.statista.com/statistics/815282/denver-metro-area-population/
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    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  2. F

    Resident Population in Denver County/city, CO

    • fred.stlouisfed.org
    json
    Updated Mar 14, 2025
    + more versions
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    (2025). Resident Population in Denver County/city, CO [Dataset]. https://fred.stlouisfed.org/series/CODENV5POP
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    jsonAvailable download formats
    Dataset updated
    Mar 14, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Denver
    Description

    Graph and download economic data for Resident Population in Denver County/city, CO (CODENV5POP) from 1970 to 2024 about Denver County, CO; Denver; CO; residents; population; and USA.

  3. U.S. population of metropolitan areas in 2023

    • statista.com
    Updated Jul 26, 2024
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    Statista (2024). U.S. population of metropolitan areas in 2023 [Dataset]. https://www.statista.com/statistics/183600/population-of-metropolitan-areas-in-the-us/
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    Dataset updated
    Jul 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    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.

  4. N

    Median Household Income by Racial Categories in Denver, IA (, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
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    Neilsberg Research (2025). Median Household Income by Racial Categories in Denver, IA (, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/e09c7d0f-f665-11ef-a994-3860777c1fe6/
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    csv, jsonAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Iowa, Denver
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in Denver. 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 population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 94.72% of the total residents in Denver. Notably, the median household income for White households is $86,458. 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 $125,000. This reveals that, while Whites may be the most numerous in Denver, 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.
    • 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 median household income by race. You can refer the same here

  5. K

    Denver, Colorado Bedrock One Foot Contours (1996)

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated May 15, 2019
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    City and County of Denver, Colorado (2019). Denver, Colorado Bedrock One Foot Contours (1996) [Dataset]. https://koordinates.com/layer/101874-denver-colorado-bedrock-one-foot-contours-1996/
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    csv, mapinfo tab, dwg, pdf, geopackage / sqlite, geodatabase, mapinfo mif, kml, shapefileAvailable download formats
    Dataset updated
    May 15, 2019
    Dataset authored and provided by
    City and County of Denver, Colorado
    Area covered
    Description

    This dataset describes the bedrock elevation beneith the City and County of Denver with contour lines set at 1 foot intervals.

  6. Urban and Regional Migration Estimates

    • openicpsr.org
    Updated Apr 23, 2024
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    Stephan Whitaker (2024). Urban and Regional Migration Estimates [Dataset]. http://doi.org/10.3886/E201260V6
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    Dataset updated
    Apr 23, 2024
    Dataset provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Authors
    Stephan Whitaker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2010 - Mar 31, 2025
    Area covered
    Combined Statistical Areas, Metro areas, United States, Metropolitan areas
    Description

    Disclaimer: These data are updated by the author and are not an official product of the Federal Reserve Bank of Cleveland.This project provides two sets of migration estimates for the major US metro areas. The first series measures net migration of people to and from the urban neighborhoods of the metro areas. The second series covers all neighborhoods but breaks down net migration to other regions by four region types: (1) high-cost metros, (2) affordable, large metros, (3) midsized metros, and (4) small metros and rural areas. These series were introduced in a Cleveland Fed District Data Brief entitled “Urban and Regional Migration Estimates: Will Your City Recover from the Pandemic?"The migration estimates in this project are created with data from the Federal Reserve Bank of New York/Equifax Consumer Credit Panel (CCP). The CCP is a 5 percent random sample of the credit histories maintained by Equifax. The CCP reports the census block of residence for over 10 million individuals each quarter. Each month, Equifax receives individuals’ addresses, along with reports of debt balances and payments, from creditors (mortgage lenders, credit card issuers, student loan servicers, etc.). An algorithm maintained by Equifax considers all of the addresses reported for an individual and identifies the individual’s most likely current address. Equifax anonymizes the data before they are added to the CCP, removing names, addresses, and Social Security numbers (SSNs). In lieu of mailing addresses, the census block of the address is added to the CCP. Equifax creates a unique, anonymous identifier to enable researchers to build individuals’ panels. The panel nature of the data allows us to observe when someone has migrated and is living in a census block different from the one they lived in at the end of the preceding quarter. For more details about the CCP and its use in measuring migration, see Lee and Van der Klaauw (2010) and DeWaard, Johnson and Whitaker (2019). DefinitionsMetropolitan areaThe metropolitan areas in these data are combined statistical areas. This is the most aggregate definition of metro areas, and it combines Washington DC with Baltimore, San Jose with San Francisco, Akron with Cleveland, etc. Metro areas are combinations of counties that are tightly linked by worker commutes and other economic activity. All counties outside of metropolitan areas are tracked as parts of a rural commuting zone (CZ). CZs are also groups of counties linked by commuting, but CZ definitions cover all counties, both metropolitan and non-metropolitan. High-cost metropolitan areasHigh-cost metro areas are those where the median list price for a house was more than $200 per square foot on average between April 2017 and April 2022. These areas include San Francisco-San Jose, New York, San Diego, Los Angeles, Seattle, Boston, Miami, Sacramento, Denver, Salt Lake City, Portland, and Washington-Baltimore. Other Types of RegionsMetro areas with populations above 2 million and house price averages below $200 per square foot are categorized as affordable, large metros. Metro areas with populations between 500,000 and 2 million are categorized as mid-sized metros, regardless of house prices. All remaining counties are in the small metro and rural category.To obtain a metro area's total net migration, sum the four net migration values for the the four types of regions.Urban neighborhoodCensus tracts are designated as urban if they have a population density above 7,000 people per square mile. High density neighborhoods can support walkable retail districts and high-frequency public transportation. They are more likely to have the “street life” that people associate with living in an urban rather than a suburban area. The threshold of 7,000 people per square mile was selected because it was the average density in the largest US cities in the 1930 census. Before World War II, workplaces, shopping, schools and parks had to be accessible on foot. Tracts are also designated as urban if more than half of their housing units were built before WWII and they have a population density above 2,000 people per square mile. The lower population density threshold for the pre-war neighborhoods recognizes that many urban tracts have lost population since the 1960s. While the street grids usually remain, the area also nee

  7. a

    091021 G L Nation

    • redistricting-gallery-coleg.hub.arcgis.com
    Updated Sep 16, 2021
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    louis_pino (2021). 091021 G L Nation [Dataset]. https://redistricting-gallery-coleg.hub.arcgis.com/maps/a2c42199d4c94778a97b71ccac6ce20e
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    Dataset updated
    Sep 16, 2021
    Dataset authored and provided by
    louis_pino
    Area covered
    Description

    Plan Information Plan name: Thumb off scale plan Description: Plan ObjectivesObjective: not to dilute less urban and rural voices by putting them in districts with large population centers. D1 & D5: Denver and El Paso counties' population concentrations supports a District for each. D2: Combining Weld and Pueblo counties' hispanic populations into a District gives them a more meaningful voice... and the rest of the district's counties are similar geographically: East flowing watersheds, farming, more rural and religious in character. D3: A unified Western Slope District indicated by common themes of mountains, outdoor recreation and tourist focus, ranching, and West flowing watersheds with it's unique water issues. D4: Boulder-Larimer both educational and technology centers, promoters of open space preservation, etc. D6: Jefferson County anchors west of metro Denver. 7: Western Arapahoe -Douglas counties anchor south Metro 8: Adams-Arapahoe counties similar, having population centers abutting east Denver metro area.

  8. n

    Generalized Surficial Geologic Map of the Denver 1 degree x 2 degree...

    • cmr.earthdata.nasa.gov
    zip
    Updated Apr 21, 2017
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    (2017). Generalized Surficial Geologic Map of the Denver 1 degree x 2 degree Quadrangle, Colorado [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C2231551427-CEOS_EXTRA.html
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    zipAvailable download formats
    Dataset updated
    Apr 21, 2017
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Description

    The map and descriptions offer information that may be used for: land-use planning (e.g. selecting land fill sites, greenbelts, avoiding geologic hazards), for finding aggregate resources (crushed rock, sand, and gravel), for study of geomorphology and Quaternary geology. Geologic hazards (e.g., landslides, swelling soils, heaving bedrock, and flooding) known to be located in, or characteristic of some mapped units, were identified.

    Surficial deposits in the quadrangle partially record depositional events of the Quaternary Period (the most recent 1.8 million years). Some events such as floods are familiar to persons living in the area, while other recorded events are pre-historical. The latter include glaciation, probable large earthquakes, protracted drought, and widespread deposition of sand and silt by wind. At least twice in the past 200,000 years (most recently about 30,000 to 12,000 years ago) global cooling caused glaciers to form along the Continental Divide. The glaciers advanced down valleys in the Front Range, deeply eroded the bedrock, and deposited moraines (map units tbg, tbj) and outwash (ggq, gge). On the plains (east part of map), eolian sand (es), stabilized dune sand (ed), and loess (elb) are present and in places contain buried paleosols. These deposits indicate that periods of sand dune deposition alternated with periods of stabilized dunes and soil formation.

    Thirty-nine types of surficial geologic deposits and residual materials of Quaternary age are described and mapped in the greater Denver area, in part of the Front Range, and in the piedmont and plains east of Denver, Boulder, and Castle Rock. Descriptions appear in the pamphlet that accompanies the map. Landslide deposits, colluvium, residuum, alluvium, and other deposits or materials are described in terms of predominant grain size, mineral or rock composition (e.g., gypsiferous, calcareous, granitic, andesitic), thickness of deposits, and other physical characteristics. Origins and ages of the deposits and geologic hazards related to them are noted. Many lines between geologic units on our map were placed by generalizing contacts on published maps. However, in 1997-1999 we mapped new boundaries, as well. The map was projected to the UTM projection. This large map area extends from the Continental Divide near Winter Park and Fairplay ( on the west edge), eastward about 107 mi (172 km); and extends from Boulder on the north edge to Woodland Park at the south edge (68 mi; 109 km).

    Compilation scale: 1:250,000. Map is available in digital and print-on-demand paper formats. Deposits are described in terms of predominant grain size, mineralogic and lithologic composition, general thickness, and geologic hazards, if any, relevant geologic historical information and paleosoil information, if any. Thirty- nine map units of deposits include 5 alluvium types, 15 colluvia, 6 residua, 3 types of eolian deposits, 2 periglacial/disintegrated deposits, 3 tills, 2 landslide units, 2 glaciofluvial units, and 1 diamicton. An additional map unit depicts large areas of mostly bare bedrock.

    The physical properties of the surficial materials were compiled from published soil and geologic maps and reports, our field observations, and from earth science journal articles. Selected deposits in the field were checked for conformity to descriptions of map units by the Quaternary geologist who compiled the surficial geologic map units.

    FILES INCLUDED IN THIS DATA SET:

    denvpoly: polygon coverage containing geologic unit contacts and labels. denvline: arc coverage containing faults. geol_sfo.lin: This lineset file defines geologic line types in the geologically themed coverages. geoscamp2.mrk: This markerset file defines the geologic markers in the geologically themed coverages. color524.shd: This shadeset file defines the cmyk values of colors assigned to polygons in the geologically themed coverages.

  9. U

    Digital Elevation Models (DEM) Data

    • data.usgs.gov
    • s.cnmilf.com
    • +2more
    Updated Feb 24, 2024
    + more versions
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    Paul Grams; Laura Alvarez; Matthew Kaplinski; Scott Wright (2024). Digital Elevation Models (DEM) Data [Dataset]. http://doi.org/10.5066/P9O00Z44
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    Dataset updated
    Feb 24, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Paul Grams; Laura Alvarez; Matthew Kaplinski; Scott Wright
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Feb 6, 2008 - Mar 31, 2008
    Description

    These topographic/bathymetric digital elevation models (DEMs) were collected and compiled to characterize erosion and deposition in the Colorado River and in an adjacent zone of laterally recirculating flow (eddy) during both average flow conditions and during a controlled flood that occurred in March 2008. The objectives of the study were to measure changes sandbar morphology that occurred during changes in discharge associated with the controlled flood. These data were collected between February 6 and March 31, 2008 in a 1-mile study reach on the Colorado River within Grand Canyon National Park beginning 44.5 miles downstream from Lees Ferry, Arizona. These data were collected by the USGS Grand Canyon Monitoring and Research Center with cooperators from Northern Arizona University and funding provided by the Glen Canyon Dam Adaptive Management Program. All bathymetric data were collected with a multibeam sonar system (Reson Seabat 8124 sonar with TSS MAHRSS reference system for ...

  10. U

    Seasonal Atmospheric Nitrate and Ammonium Deposition along an Elevation...

    • data.usgs.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +2more
    + more versions
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    Deborah Repert; Sheila Murphy; Toby Halamka; Mahalie Hill; Ruth Heindel; David Clow, Seasonal Atmospheric Nitrate and Ammonium Deposition along an Elevation Gradient in the Colorado Front Range using Ion Exchange Resin Columns (2018-2019) [Dataset]. http://doi.org/10.5066/P9XW4TM8
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Deborah Repert; Sheila Murphy; Toby Halamka; Mahalie Hill; Ruth Heindel; David Clow
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Jan 30, 2018 - Dec 16, 2019
    Area covered
    Colorado
    Description

    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 b ...

  11. d

    September 2016 Survey of the Rocky Mountain Population of Greater Sandhill...

    • datadiscoverystudio.org
    Updated May 20, 2018
    + more versions
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    (2018). September 2016 Survey of the Rocky Mountain Population of Greater Sandhill Cranes. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/49b1f04925ca49da9dd2d0f99c5b6f27/html
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    Dataset updated
    May 20, 2018
    Description

    description: Greater sandhill cranes (Antigone canadensis tabida) of the Rocky Mountain Population (RMP) were counted at fall premigration staging areas in Colorado, Idaho, Montana, Utah, and Wyoming September 2016. Early migrants that 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 Quest Kodiak 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 (Antigone canadensis tabida) of the Rocky Mountain Population (RMP) were counted at fall premigration staging areas in Colorado, Idaho, Montana, Utah, and Wyoming September 2016. Early migrants that 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 Quest Kodiak 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).

  12. Cities with the highest altitudes in the world

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Cities with the highest altitudes in the world [Dataset]. https://www.statista.com/statistics/509341/highest-cities-in-the-world/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    World
    Description

    The highest city in the world with a population of more than one million is La Paz. The Capital of Bolivia sits ***** 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 largest 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 ***** meters.

  13. d

    Digital Database of a 3D Geological Model of the Denver Basin

    • catalog.data.gov
    • data.usgs.gov
    Updated Feb 22, 2025
    + more versions
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    U.S. Geological Survey (2025). Digital Database of a 3D Geological Model of the Denver Basin [Dataset]. https://catalog.data.gov/dataset/digital-database-of-a-3d-geological-model-of-the-denver-basin
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    Dataset updated
    Feb 22, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    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.

  14. p

    Denver Planting Zones Dataset

    • plantingzonesbyzipcode.com
    Updated Aug 3, 2024
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    plantingzonesbyzipcode (2024). Denver Planting Zones Dataset [Dataset]. https://plantingzonesbyzipcode.com/colorado/denver/
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    Dataset updated
    Aug 3, 2024
    Dataset authored and provided by
    plantingzonesbyzipcode
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Variables measured
    Zone Details, Location Data
    Description

    USDA plant hardiness zone data for Denver, CO, covering zones 5b and 6a with elevation-based variations from the Rocky Mountains.

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2024). Denver-Aurora-Lakewood metro area population in the U.S. 2010-2023 [Dataset]. https://www.statista.com/statistics/815282/denver-metro-area-population/
Organization logo

Denver-Aurora-Lakewood metro area population in the U.S. 2010-2023

Explore at:
Dataset updated
Oct 16, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

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.

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