![]() Density rankings 1 to 52 include the District of Columbia and Puerto Rico. Source imagery for HRSL © 2016 DigitalGlobe. Note: Population density is a measure of the average population per square mile of land. To reference this data, please use the following citation: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. Data tables, maps, charts, and live population clock. This preserves the relative population totals across administrative units while matching the UN total. population density, urbanization, urban population, countrys share of world population, and global rank. The resulting adjustment factor is multiplied by each administrative unit census value for the target year. Learn more before you buy, or discover other cool products in Mathematical Art. The UN estimate for a given country (or state/territory) is divided by the total census estimate of population for the given country. High to Low population density, Low to High population density, North to South, East. How crowded is the USA Explore this interactive map that shows the population density of every county in the country, based on the latest census data. US Population Density Map (3G2GP3K6P) by RoundTableRdDesign on Shapeways. For more information about the methodology used to create our high resolution population density maps and the demographic distributions, please visit: įor information about how to use HDX to access these datasets, please visit: Īdjustments to match the census population with the UN estimates are applied at the national level. The resulting maps are the most detailed and actionable tools available for aid and research organizations. Then we work with our partners at Columbia University to overlay general population estimates based on publicly available census data and other population statistics. The Population Weighted Density statistic summarises this chart, measuring 2.2k pp/km 2 (persons per square km) for 2020. If we look at the USA, which is renowned for lower density suburban living, the bar chart of population by density class peaks at 1-2km 2. To create our high-resolution maps, we use machine learning techniques to identify buildings from commercially available satellite images. Different countries around the world have radically different settlement patterns. Creative Commons Attribution International
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