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Population density of the us map4/14/2024 The netCDF-4 file format is only available for the All Years Combined category and is not available at 30 arc-second resolution. A separate documentation zip file contains PDF documentation, an Excel file (.xlsx) with country-level information and sources, and a text file (.txt) with a log of changes to the data set by version. The data are stored in WGS84, geographic coordinate system (latitude/longitude).Įach downloadable is a compressed zip file containing either the global GeoTIFF (.tif) or ASCII (.asc) for the year and resolution of the estimate, or the netCDF-4 (.nc) containing all years of the estimate at a selected resolution, as well as data quality layers and ancillary files. The netCDF-4 files are available at all resolutions except 30 arc-second. The ASCII and GeoTIFF data are available at the native 30 arc-second resolution and four lower resolutions: 2.5 arc-minute, 15 arc-minute, 30 arc-minute, and 1 degree. (New Map Viewer Only) This map is designed to work in the new ArcGIS Online Map Viewer. The pattern is shown using American Community Survey (ACS) data by states, counties, and tracts. This is shown by dot density, where each dot represents multiple people. The files for this data set are available as global rasters in GeoTIFF, ASCII, and netCDF-4 format. This map shows the population of the US by race. It also includes a sortable table of density by states, territories, divisions, and regions by population rank and land area, and a sortable table for density by states, divisions, regions, and territories in square miles and square kilometers. † For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format. This is a list of the 50 states, the 5 territories, and the District of Columbia by population density, population size, and land area. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website. Please visit the data citations page for details. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. * When authors make use of data they should cite both the data set and the scientific publication, if available.
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