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TwitterIn 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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Historical dataset of population level and growth rate for the Denver metro area from 1950 to 2025.
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Graph and download economic data for Resident Population in Denver-Aurora-Lakewood, CO (MSA) (DNVPOP) from 2000 to 2022 about Denver, CO, residents, population, and USA.
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TwitterComprehensive demographic dataset for Denver County, CO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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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.
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TwitterIn 2022, the real gross domestic product (GDP) amounted to ****** billion U.S. dollars. This was an increase from the previous year when the real GDP came to ***** 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.
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The dataset tabulates the Denver County 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 County 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 County was 716,577, a 0.44% increase year-by-year from 2022. Previously, in 2022, Denver County 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 County 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Denver County Population by Year. You can refer the same here
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TwitterComprehensive demographic dataset for Clear Creek County, CO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterComprehensive demographic dataset for Stapleton Denver, Denver, CO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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Graph and download economic data for Population Estimate, Total, Hispanic or Latino, White Alone (5-year estimate) in Denver County, CO (B03002013E008031) from 2009 to 2023 about Denver County, CO; Denver; white; latino; hispanic; CO; estimate; 5-year; persons; population; and USA.
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TwitterComprehensive demographic dataset for Rino Denver, Denver, CO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterComprehensive demographic dataset for Northeast Denver, Denver, CO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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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 50.43% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
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
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.
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/.
This dataset is a part of the main dataset for Denver Population by Race & Ethnicity. You can refer the same here
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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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Denver Population by Age. You can refer the same here
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Graph and download economic data for Employed Persons in Denver-Aurora-Lakewood, CO (MSA) (LAUMT081974000000005) from Jan 1990 to Aug 2025 about Denver, CO, persons, household survey, employment, and USA.
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TwitterComprehensive demographic dataset for Downtown Denver, Denver, CO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Denver County, CO (DISCONTINUED) (NETMIGNACS008031) from 2009 to 2020 about Denver County, CO; migration; Denver; flow; CO; Net; 5-year; and population.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the data for the Denver County, CO population pyramid, which represents the Denver County population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Denver County Population by Age. You can refer the same here
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TwitterThe TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.
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TwitterThe TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Census Bureau includes landmarks in the MTS for locating special features and to help enumerators during field operations. Some of the more common landmark types include airports, cemeteries, parks, schools, and churches and other religious institutions. The Census Bureau adds landmark features to MTS on an as-needed basis and does not ensure that all instances of a particular feature are included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration. The Area Landmark shapefile does not include military installations or water bodies because they appear in their own separate shapefiles, mil.shp and areawater.shp respectively.
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TwitterIn 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.