8 datasets found
  1. Cities with the highest altitudes in the world

    • statista.com
    Updated Nov 28, 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
    Nov 28, 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.

  2. o

    Cameron Heights Circle Cross Street Data in Denver, NC

    • ownerly.com
    Updated Mar 20, 2022
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    Ownerly (2022). Cameron Heights Circle Cross Street Data in Denver, NC [Dataset]. https://www.ownerly.com/nc/denver/cameron-heights-cir-home-details
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    Dataset updated
    Mar 20, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    North Carolina, Denver, Cameron Heights Circle
    Description

    This dataset provides information about the number of properties, residents, and average property values for Cameron Heights Circle cross streets in Denver, NC.

  3. Nixon Heights, Denver, NC, US Demographics 2025

    • point2homes.com
    html
    Updated 2025
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    Point2Homes (2025). Nixon Heights, Denver, NC, US Demographics 2025 [Dataset]. https://www.point2homes.com/US/Neighborhood/NC/Nixon-Heights.html
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    htmlAvailable download formats
    Dataset updated
    2025
    Dataset authored and provided by
    Point2Homeshttps://plus.google.com/116333963642442482447/posts
    Time period covered
    2025
    Area covered
    United States, Nixon Heights Lane, North Carolina, Denver
    Variables measured
    Asian, Other, White, 2 units, Over 65, Median age, Blue collar, Mobile home, 3 or 4 units, 5 to 9 units, and 69 more
    Description

    Comprehensive demographic dataset for Nixon Heights, Denver, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

  4. a

    Senior living costs in Denver Heights vs. state and national costs

    • aplaceformom.com
    html
    Updated Nov 27, 2025
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    (2025). Senior living costs in Denver Heights vs. state and national costs [Dataset]. http://www.aplaceformom.com/alzheimers-care/west-virginia/denver-heights
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    htmlAvailable download formats
    Dataset updated
    Nov 27, 2025
    Area covered
    Denver Heights
    Description

    Cost comparison table showing community type costs by location

  5. U

    Digital Elevation Models (DEM) Data

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    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 ...

  6. Data from: Measuring urban tree loss dynamics across residential landscapes

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Nov 12, 2020
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    U.S. EPA Office of Research and Development (ORD) (2020). Measuring urban tree loss dynamics across residential landscapes [Dataset]. https://catalog.data.gov/dataset/measuring-urban-tree-loss-dynamics-across-residential-landscapes
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    Dataset updated
    Nov 12, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    The spatial arrangement of urban vegetation depends on urban morphology and socio-economic settings. Urban vegetation changes over time because of human management. Urban trees are removed due to hazard prevention or aesthetic preferences. Previous research attributed tree loss to decreases in canopy cover. However, this provides little information about location and structural characteristics of trees lost, as well as environmental and social factors affecting tree loss dynamics. This is particularly relevant in residential landscapes where access to residential parcels for field surveys is limited. We tested whether multi-temporal airborne LiDAR and multi-spectral imagery collected at a 5-year interval can be used to investigate urban tree loss dynamics across residential landscapes in Denver, CO and Milwaukee, WI, covering 400,705 residential parcels in 444 census tracts. Position and stem height of trees lost were extracted from canopy height models calculated as the difference between final (year 5) and initial (year 0) vegetation height derived from LiDAR. Multivariate regression models were used to predict number and height of tree stems lost in residential parcels in each census tract based on urban morphological and socio-economic variables. A total of 28,427 stems were lost from residential parcels in Denver and Milwaukee over 5 years. Overall, 7% of residential parcels lost one stem, averaging 90.87 stems per km2. Average stem height was 10.16 m, though trees lost in Denver were taller compared to Milwaukee. The number of stems lost was higher in neighborhoods with higher canopy cover and developed before the 1970s. However, socio-economic characteristics had little effect on tree loss dynamics. The study provides a robust method for measuring urban tree loss dynamics within and across entire cities, and represents a first step towards high resolution assessments of the three-dimensional change of urban vegetation at large spatial scales. This dataset is associated with the following publication: Ossola, A., and M. Hopton. Measuring urban tree loss dynamics across residential landscapes. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 612: 940-949, (2018).

  7. a

    Denver Regional Council of Governments Area High Resolution Land Cover

    • hub.arcgis.com
    Updated Mar 16, 2020
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    Chesapeake Conservancy (2020). Denver Regional Council of Governments Area High Resolution Land Cover [Dataset]. https://hub.arcgis.com/datasets/9eaeb6930edb4054aa16a5bc26583318
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    Dataset updated
    Mar 16, 2020
    Dataset authored and provided by
    Chesapeake Conservancy
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The land use/land cover was created using USDA’s 1-meter National Agriculture Imagery Program (NAIP) 2017 aerial imagery, and leaf-off aerial orthoimagery captured in March 2018 (6-inch resolution everywhere except the mountainous regions to the west, which came in 1-foot resolution).Where available and accurate, high resolution planimetric datasets were incorporated, reflecting ground conditions in 2016: building footprints, driveways and sidewalks, edge of pavement (including most roads), and parking lots. Class Definitions:1. StructuresHuman-constructed objects made of impervious materials that are greater than approximately 2 meters in height. Houses, malls, and electrical towers are examples of structures. MMU = 9 square meters.2. Impervious SurfacesHuman-constructed surfaces through which water cannot penetrate, and that are below approximately 2 meters in height. This includes asphalt, concrete, gravel, pavement, treated lumber (e.g. docks and decks), and dirt roads/hard-packed dirt lots, etc. MMU = 9 square meters, minimum 2 meters wide for linear features.3. WaterAll areas of open water, generally with less than 25% cover of vegetation/land cover. This includes water-filled backyard pools, ponds, lakes, rivers, natural tidal pools in wetland areas, and boats that are not attached to docks. MMU = 9 square meters.4. Prairie/Grassland/Natural Ground CoverLarge open semi-arid areas composed of perennial grasses, herbaceous vegetation, and shrubs. These lands are often used for ranching and grazing but are not managed beyond these activities. This class also includes unmanaged natural ground cover that is less than a meter tall, such as wetland areas. MMU = 9 square meters.5. Tree CanopyDeciduous and evergreen woody vegetation of either natural succession or human planting that is over approximately 5 meters in height. Stand-alone individuals, discrete clumps, and interlocking individuals are included. MMU = 9 square meters. Includes individual large shrubs. 6. Turf/Irrigated LandsTurf grass and areas of land that are actively managed and watered that do not fall in the cropland class. Examples of turf: lawns, cemeteries, golf courses, sports fields. MMU = 9 square meters.7. Barren landAreas void of vegetation consisting of natural earthen material regardless of how it has been cleared. This includes beaches, mud flats, bedrock, xeriscaped lawns, and bare ground in construction sites (hard-packed paths/roads in construction sites would be better suited for the impervious class). MMU = 25 square meters.8. CroplandLarge fields, generally found in non-urban areas used for the production of various annual crops. These lands can be in active or inactive use, but must show visual signs of recent usage from the 2017 NAIP imagery, such as tilled fields or tire tracks. The USDA Farm Service Agency 2008 Common Land Unit (CLU) boundaries were used to guide the visual interpretation of the landscape. Irrigated fields that were not in relative proximity to the CLU boundaries and were well within the Census Urban Area boundary were not included in the cropland class.

  8. U

    1 meter Digital Elevation Models (DEMs) - USGS National Map 3DEP...

    • data.usgs.gov
    • s.cnmilf.com
    • +4more
    Updated Feb 14, 2025
    + more versions
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    U.S. Geological Survey (2025). 1 meter Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:77ae0551-c61e-4979-aedd-d797abdcde0e
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    Dataset updated
    Feb 14, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    License

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

    Description

    This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...

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    Learn how you can add new datasets to our index.

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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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Cities with the highest altitudes in the world

Explore at:
Dataset updated
Nov 28, 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.

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