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. N

    Denver, CO Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Denver, CO Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Denver from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/denver-co-population-by-year/
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    csv, jsonAvailable download formats
    Dataset updated
    Jul 30, 2024
    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
    Colorado, Denver
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    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

  4. C

    Population Projections in Colorado

    • data.colorado.gov
    application/rdfxml +5
    Updated Jul 7, 2025
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    DOLA (2025). Population Projections in Colorado [Dataset]. https://data.colorado.gov/Demographics/Population-Projections-in-Colorado/q5vp-adf3
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    tsv, csv, xml, application/rdfxml, json, application/rssxmlAvailable download formats
    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    DOLA
    License

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

    Area covered
    Colorado
    Description

    Actual and predicted population data by gender and age from the Department of Local Affairs (DOLA), from 1990 to 2040.

  5. 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.

  6. M

    Colorado Population 1900-2024

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Colorado Population 1900-2024 [Dataset]. https://www.macrotrends.net/states/colorado/population
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    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    Colorado
    Description

    Chart and table of population level and growth rate for the state of Colorado from 1900 to 2024.

  7. a

    Michael B

    • redistricting-gallery-coleg.hub.arcgis.com
    Updated Aug 25, 2021
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    louis_pino (2021). Michael B [Dataset]. https://redistricting-gallery-coleg.hub.arcgis.com/documents/388e1b5319b740f2bc3c1ab340300d38
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    Dataset updated
    Aug 25, 2021
    Dataset authored and provided by
    louis_pino
    Description

    I have lived all over this great state and have spent time in every corner, so just making a recommendation on a single solitary community will not do. If it pleases the commission, I would like to submit the attached file as a recommendation for 2021's redistricted congressional map. CO-01 - The 1st would shed its northern and eastern portions while shifting south to accommodate the new 8th. It would be an extremely wealthy district containing the upper class suburbs of Denver, as well as Columbine, Ken Caryl, Centennial, and Highlands Ranch. CO-02 - The 2nd would shift eastward, shedding its mountain communities while taking in Greeley and Longmont to become a truly Northern Colorado district. CO-03 - The western-based 3rd would take in the mountain communities of the 2nd while letting go of historically, culturally, and hydrologically separate portions of southern Colorado. CO-04 - The 4th would become a Southern Colorado district, stretching from the south of Colorado Springs to Pueblo, down across the San Luis Valley, and concluding in Durango and Cortez. Additionally, this district would become the 2nd most diverse in the state, and an extremely competitive district at that! CO-05 - The 5th would be based in the north portions of Colorado Springs, an area unique to the south of the city in its demographics, wealth, and ties to the United States Air Force. It would take in the entirety of culturally similar Eastern Colorado, ensuring that this sparsely populated region of ~100,000 people would maintain its voice in Washington. CO-06 - The 6th would move out of Brighton and Thornton, with Parker absorbed in its entirety as it so closely resembles south Aurora in wealth, demographics, and travel habits. Previously the most malformed district the new 6th would be incredibly compact! CO-07 - The 7th remains largely unchanged, save for parts lost to the 8th and a continued move up I-25 as growing neighborhoods continue to sprout up from old farmlands. CO-08 - The 8th would be the most diverse district in the state, taking in the largely Hispanic portions for west Denver and Adams County. Previously divided between the old 1st, 6th, and 7th, this district would ensure a united voice for a previously underrepresented community in Colorado In summary: 4 districts are centered around Denver, matching the 50% of the state's population that lives in Denver, Adams, Arapahoe, Jefferson, Douglas, and Broomfield counties (i.e., the Denver Metro Area minus Boulder County). Four districts represent the four unique "corners" of our state outside of Denver: Southern Colorado, the Eastern Plains, Northern Colorado, and the Western Slope. These districts contain contiguous communities, following highways and major roads to ensure easy travel for our future representatives. Finally, they are of course as equal to one another in population as can be expected, however minor adjustments will likely need to be made once proper census numbers are made available. Thank you for your time. *Please note that previous attempts at this submission were made using .geojson and .csv files, however the website did not recognize them and produced an error. Therefore I have attached a .png, the only other functional format I have available.

  8. a

    082721 Thomas Mowle

    • redistricting-gallery-coleg.hub.arcgis.com
    Updated Sep 15, 2021
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    louis_pino (2021). 082721 Thomas Mowle [Dataset]. https://redistricting-gallery-coleg.hub.arcgis.com/maps/755bc89de4de4ca4bf8bd7afea45412a
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    Dataset updated
    Sep 15, 2021
    Dataset authored and provided by
    louis_pino
    Area covered
    Description

    This is my second input on the preliminary Congressional Commission redistricting map, based this time on the census numbers that were released in mid-August. These additional comments again use on Dave’s Redistricting App (DRA), which has the current data for counties and precincts. As of this writing, the commission’s tool did not seem to have the current data loaded. My revised draft alternative is at https://davesredistricting.org/join/b26ec349-27da-4df9-a087-ce77af348056. As background, I participated in redistricting initiatives in South Bend, Indiana, in the mid-1980s and for Indiana legislative seats after the 1990 census. I didn’t engage with redistricting during the rest of my 20-year military career. After retiring, and while serving as Public Trustee for El Paso County, I participated in redistricting efforts at the county and city level. I also stood for El Paso County Clerk in 2010. I have lived in Colorado since 2000. Description of Draft Alternative My process started by identifying large-scale geographic communities of interest within Colorado: the Western Slope/mountain areas, the Eastern Plains, Colorado Springs/El Paso County, the North Front Range, and Denver Metro. Two smaller geographic communities of interest are Pueblo and the San Luis Valley—neither is nearly large enough to sustain a district and both are somewhat distinct from their neighboring communities of interest. A choice thus must be made about which other communities of interest to group them with. A second principle I adopted was to prioritize keeping counties intact over municipalities. County boundaries are fixed, unlike municipal boundaries, and do not interlock based on annexation patterns. Precincts and census blocks do not overlap counties, but they may overlap municipal boundaries. Furthermore, county lines more often correspond to other layers of government than do municipal boundaries. This most matters along the western border of Weld County, which several municipalities overlap while also being rather entangled with each other. I was not able to find a particularly elegant alternative to using the county line that would not then require other communities of interest to be divided.I started with El Paso County, which exceeds the ideal district population (721,714) by 8,681 or 1.2%. It therefore must be split among different districts. El Paso, where I have lived for these past 20 years, is itself a coherent community that should remain as intact as possible – no plan that split it into two large pieces would comply with the commission’s mandate. The best options for moving population into other districts would be on the eastern and western edges. The northern part of El Paso County – Palmer Lake, Monument, Woodmoor, and Black Forest – is much more closely tied to the rest of El Paso County than it is to Douglas County. The small population along I-25 in southern El Paso County is also more closely tied to Fort Carson and the Fountain Valley than it is to Pueblo. The eastern parts of El Paso County, on the other hand – Ramah, Calhan, Yoder, Rush, Truckton – have far more in common with Lincoln County and the Eastern Plains than they do with Colorado Springs. Unfortunately, there is not enough population in the easternmost precincts to bring the county within the population limits. Once you get as far west as Peyton, you are reaching the edge of the Colorado Springs exurbs; once you get to Ellicott, you are reaching communities around Schriever Air Force Base that are part of the community of interest associated with the military. Rather than divide the community of interest there, it would be better to link the precincts in Ute Pass, the Rampart Range, and along the southern part of Gold Camp Road with Woodland Park and Teller County. While I will not claim that they are part of the Colorado Springs community, they are more linked to the larger town to their west than the northern and southern edges of El Paso County are to their neighboring counties. The use of census block data, not yet available on DRA, might allow more fine-tuning of this split that creates District 5 out of all but the western and eastern edges of El Paso County. The true Western Slope is not large enough to sustain District 3, even with the obvious addition of Jackson County and the necessary additions of Lake, Chafee, Park, and Teller Counties. The preliminary commission map would exclude most of the San Luis Valley (all but Hinsdale) from the Western Slope district. Based on the revised census numbers, a district that did this would need to add all of Clear Creek, Gilpin, and Fremont Counties to the Western Slope along with the small part of El Paso County. On its face, this maintains county integrity very well and would be a better map than the preliminary commission map that groups parts of Boulder County into the Western Slope. However, there are two problems with such a design. One would be that it breaks up communities of interest to the east: Gilpin and Clear Creek Counties are more associated with the Denver Metro, and Canon City with Pueblo, than any of them are with the Western Slope. The second problem is that it means any district centered in the North Front Range would need to take on arbitrary parts of neighboring Broomfield and Weld County or an even less-logical division of Arvada or Golden in Jefferson County. The draft alternative map submitted with these comments places the San Luis Valley with the Western Slope. To complete the required population, it adds western El Paso County (as described above), western Fremont County, Custer County, and Huerfano County to the Western Slope district. Certainly, arguments can be made about dividing communities of interest here as well, but ties do exist along the Wet Mountain Valley and across La Veta Pass. Throughout the map – throughout any map – tradeoffs must be made among which communities remain together. The draft alternative District 4 is based on the Eastern Plains. In the south, this includes eastern Fremont County (including Canon City), Pueblo County, Las Animas County, the Lower Arkansas Valley, and parts of far eastern El Paso County. In the north, this includes all of Weld and Elbert Counties, retaining them as intact political subdivisions. It does not extend into Larimer, Broomfield, Adams, Arapahoe, or Douglas Counties. The draft alternative District 2 is placed in the North Front Range and includes Larimer, Boulder, Gilpin, and Clear Creek Counties. This is nearly enough population to form a complete district, so it is rounded out by adding Evergreen and the rest of Coal Creek in Jefferson County. The City and County of Denver (and the Arapahoe County enclave municipalities of Glendale and Holly Hills) forms the basis of draft alternative District 1. This is approximately the right size to form a district, but the complexities of interlocking communities make it sensible to include Bow Mar and a small piece of southern Lakewood in this district and exclude the Indian Creek and Kennedy neighborhoods. This leaves three districts to place in suburban Denver. A great place for a boundary among these three districts that does not split communities of interest is in the area of low population to the northeast of Denver International Airport. District 7 in this numbering (which is arbitrary) would include all of Adams County to the west of the airport: to name only the largest communities, Commerce City, Brighton (except the part in Weld), Thornton, Northglenn, and Westminster. It would also include the City and County of Broomfield, and Arvada and the rest of Westminster in Jefferson County. District 6 would include all of the City of Aurora and the parts of Adams and Arapahoe Counties to its east. It would also include Parker, Stonegate, and Meridian in Douglas County; Centennial, Greenwood Village, and Cherry Hills Village in Arapahoe County; and the Indian Creek and Kennedy neighborhoods in Denver. District 8 would include the rest. It would include all of Jefferson County from Golden and Lakewood south (except for small parts of southeastern Lakewood and western Bow Mar) It would include the rest of Douglas County, including Highlands Ranch, Lone Tree, Castle Pines, and The Pinery. Comparison of Maps Precise Population Equality The preliminary commission map has exact population equality. The draft alternative map has a variation of 0.28% (2,038 persons). This is well within the courts’ guidelines for population equality, without even considering that errors in the census data likely exceed this variation, the census data are already a year out of date, and relative district populations will fluctuate over the next 10 years. Both the “good-faith effort†and “as practicable†language leave room for a bit of variance in service of other goals. The need to “justify any variance†does not mean “no variance will be allowed.†It may be better to maintain unity in a community of interest or political subdivision rather than separate part of it for additional precision. Contiguity The draft alternative map meets this requirement. The preliminary commission map violates the spirit if not the actual language of this requirement. While its districts are connected by land, the only way to travel to all parts of preliminary Districts 3 and 4 without leaving the districts would be on foot. There is no road connection between the parts of Boulder County that are in District 3 and the rest of that district in Grand County without leaving the district and passing through District 2 in either Gilpin or Larimer Counties. There also is no road connection between some of the southwestern portions of Mineral County and the rest of District 4 without passing through Archuleta or Hinsdale Counties in District 3. Voting Rights Act The draft alternative

  9. a

    072121 Mowle attachment 3

    • redistricting-gallery-coleg.hub.arcgis.com
    Updated Aug 7, 2021
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    louis_pino (2021). 072121 Mowle attachment 3 [Dataset]. https://redistricting-gallery-coleg.hub.arcgis.com/maps/d179e1ae00fa4a659b5febb21567121a
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    Dataset updated
    Aug 7, 2021
    Dataset authored and provided by
    louis_pino
    Area covered
    Description

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

    Description of Draft Alternative
    
        My process started by
    

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

    Comparison of Maps
    
    Precise Population Equality
        The preliminary commission
    

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

    Contiguity
        The draft alternative map
    

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

    Voting Rights Act
        The preliminary staff
    

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

    Communities of Interest
        Staff presented a long list
    

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

  10. 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
    Explore at:
    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.

  11. a

    North East Southwest Central

    • redistricting-gallery-coleg.hub.arcgis.com
    Updated Aug 19, 2021
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    louis_pino (2021). North East Southwest Central [Dataset]. https://redistricting-gallery-coleg.hub.arcgis.com/maps/0ceb74b9922442eeac66f71d8e0cf71c
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    Dataset updated
    Aug 19, 2021
    Dataset authored and provided by
    louis_pino
    Area covered
    Description

    Creates four districts with rural county constituencies. Only splits counties near the Denver metro area, plus a portion of El Paso next to Woodland Park. Max deviance.My focus was on low deviation numbers, resulting in a few odd boundaries which could be adjusted:* D2 portion of El Paso County could switch to D5, adding ~2600 deviation.* D2 portion east of Brighton could shift west, adding <1000 deviation.* With higher deviation, the D1/D6/D7 boundaries near southwest Denver could more closely match county boundaries.* Moffat County might be better aligned with D3 than D2, but this would add 13,000 deviation. Maybe shift Baca & Las Animas Counties to D6 and extend D2 into southwest Douglas and west Fremont Counties?Plan Information Plan name: North, East, Southwest, Central Description: Creates four districts with rural county constituencies. Only splits counties near the Denver metro area, plus a portion of El Paso next to Woodland Park. Max deviance <1200. Non-Denver municipalities only split at exclaves.Plan Objectives(1) Keep population deviation as low as possible.(2) Only deviate from county boundaries around the Denver metro area, plus US-24 adjacent to Woodland Park.(3) Don't split municipalities or CDPs, except exclaves (to keep districts contiguous) and the edges of Denver (to keep within population target).A variation on this map could relax goal #2 in order to put Moffat in CD-3, Baca & Las Animas in CD-6, and extend CD-2 into western Fremont and southwest Douglas Counties.Area/perimeter ratio for CD-2 could be increased by putting Brighton in CD-4 and the Weld County I-25 corridor in CD-2. Alternatively, Brighton could be in CD-8 if Thornton was split between CD-8 and CD-2.

  12. Demographic and clinical characteristics for the final cohort.

    • plos.figshare.com
    xls
    Updated Jun 14, 2023
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    Alessandro Rigolon; Jeremy Németh; Brenn Anderson-Gregson; Ana Rae Miller; Priyanka deSouza; Brian Montague; Cory Hussain; Kristine M. Erlandson; Sarah E. Rowan (2023). Demographic and clinical characteristics for the final cohort. [Dataset]. http://doi.org/10.1371/journal.pone.0286119.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Alessandro Rigolon; Jeremy Németh; Brenn Anderson-Gregson; Ana Rae Miller; Priyanka deSouza; Brian Montague; Cory Hussain; Kristine M. Erlandson; Sarah E. Rowan
    License

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

    Description

    Demographic and clinical characteristics for the final cohort.

  13. a

    Adult Obesity 2014-2016

    • opendata-geospatialdenver.hub.arcgis.com
    Updated Oct 2, 2019
    + more versions
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    geospatialDENVER: Putting Denver on the map. (2019). Adult Obesity 2014-2016 [Dataset]. https://opendata-geospatialdenver.hub.arcgis.com/items/7550fb747ce14f938d7afd68ab43233d
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    Dataset updated
    Oct 2, 2019
    Dataset authored and provided by
    geospatialDENVER: Putting Denver on the map.
    Area covered
    Description

    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.

  14. a

    Childhood Obesity 2014-2016

    • opendata-geospatialdenver.hub.arcgis.com
    • hub.arcgis.com
    Updated Oct 2, 2019
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    geospatialDENVER: Putting Denver on the map. (2019). Childhood Obesity 2014-2016 [Dataset]. https://opendata-geospatialdenver.hub.arcgis.com/datasets/childhood-obesity-2014-2016
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    Dataset updated
    Oct 2, 2019
    Dataset authored and provided by
    geospatialDENVER: Putting Denver on the map.
    Area covered
    Description

    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 childhood/youth 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 Children/Youth: BMI is calculated from height and weight and plotted on the Centers for Disease Control and Prevention (CDC) male or female BMI-for-age growth chart to determine a percentile. Obesity is defined as a BMI at the 95th percentile or higher.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.

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

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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.

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